-
Notifications
You must be signed in to change notification settings - Fork 4
/
referencias.bib
1732 lines (1491 loc) · 57 KB
/
referencias.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
@book{Gurney1997,
Author = {Kevin Gurney},
Title = {An Introduction to Neural Networks},
Publisher = {CRC Press},
Year = {1997},
ISBN = {1857285034},
}
@book{brockwell2002introduction,
title={Introduction to Time Series and Forecasting},
author={Brockwell, P.J. and Davis, R.A.},
number={v. 1},
isbn={9780387953519},
lccn={2001049262},
series={Introduction to Time Series and Forecasting},
url={http://books.google.cl/books?id=H\_kgF7Zl6dQC},
year={2002},
publisher={Springer}
}
@book{brzezast00,
added-at = {2009-10-28T04:42:52.000+0100},
address = {London},
author = {Brze{\'z}niak, Zdzis{\l}aw and Zastawniak, Tomasz},
biburl = {http://www.bibsonomy.org/bibtex/27f11c3ec665bab4e76998c8bdf939cb6/jwbowers},
citeulike-article-id = {106864},
date-added = {2007-09-03 22:45:16 -0500},
date-modified = {2007-09-03 22:45:16 -0500},
interhash = {a242b18bcf7ed38ba0b89c4f8f497ed6},
intrahash = {7f11c3ec665bab4e76998c8bdf939cb6},
keywords = {bibtex-import},
publisher = {Springer},
timestamp = {2009-10-28T04:42:52.000+0100},
title = {Basic Stochastic Processes},
year = 2000
}
@book{johnson2006elementary,
title={Elementary Statistics},
author={Johnson, R.R. and Kuby, P.J.},
isbn={9780495112082},
url={http://books.google.cl/books?id=HupqAAAACAAJ},
year={2006},
publisher={Cengage Learning}
}
@book{shumstof2000,
added-at = {2009-10-28T04:42:52.000+0100},
author = {Shumway, Robert H. and Stoffer, David S.},
biburl = {http://www.bibsonomy.org/bibtex/23f3f370e4b3285502e4836e350c14948/jwbowers},
citeulike-article-id = {107113},
date-added = {2007-09-03 22:45:16 -0500},
date-modified = {2007-09-03 22:45:16 -0500},
interhash = {005662431181f6d76947019ff55a81fa},
intrahash = {3f3f370e4b3285502e4836e350c14948},
keywords = {statistics timeseries},
publisher = {Springer},
timestamp = {2009-10-28T04:42:52.000+0100},
title = {Time Series Analysis and Its Applications},
year = 2000
}
@book{boxjen76,
added-at = {2010-11-15T23:03:28.000+0100},
author = {Box, George.E.P. and Jenkins, Gwilym M.},
biburl = {http://www.bibsonomy.org/bibtex/2abb3f0ef5000289f48e20c8f245034d8/usman.qadir},
interhash = {11903bf51a10a6116bba2381c6d06ef2},
intrahash = {abb3f0ef5000289f48e20c8f245034d8},
keywords = {TimeSeries Econometrics},
publisher = {Holden-Day},
timestamp = {2010-11-15T23:03:28.000+0100},
title = {Time Series Analysis: Forecasting and Control},
year = 1976
}
@book{Haykin:1998:NNC:521706,
author = {Haykin, Simon},
title = {Neural Networks: A Comprehensive Foundation},
year = {1998},
isbn = {0132733501},
edition = {2nd},
publisher = {Prentice Hall PTR},
address = {Upper Saddle River, NJ, USA},
}
@book{bishop1995,
added-at = {2009-10-23T10:49:34.000+0200},
address = {Oxford},
author = {Bishop, C. M.},
biburl = {http://www.bibsonomy.org/bibtex/2cbfb1c03c9718c9de3ed4d0b9b2d7358/gerhard.wohlgenannt},
booktitle = {Neural Networks for Pattern Recognition.},
description = {phd thesis version 2009-10-23},
interhash = {e7e5ff5e89d29b7fa2787aad12bea123},
intrahash = {cbfb1c03c9718c9de3ed4d0b9b2d7358},
keywords = {imported},
publisher = {Oxford University Press},
timestamp = {2009-10-23T10:49:34.000+0200},
title = {Neural Networks for Pattern Recognition.},
year = 1995
}
@book{broomhead1988radial,
title={Radial Basis Functions, Multi-variable Functional Interpolation and Adaptive Networks},
author={Broomhead, D.S. and Lowe, D. and Royal Signals and Radar Establishment (Great Britain) and Royal Signals and Radar Establishment, Malvern (GB).},
series={RSRE memorandum / Royal Signals and Radar Establishment},
url={http://books.google.cl/books?id=rZ\_kMgEACAAJ},
year={1988},
publisher={Royals Signals \& Radar Establishment}
}
@book{radunovic2010wavelets,
title={Wavelets: From Math to Practice},
author={Radunovic, D.P.},
isbn={9783642006142},
url={http://books.google.cl/books?id=Io\_Idf-g6VgC},
year={2010},
publisher={Springer}
}
@book{najmi2012wavelets,
title={Wavelets: A Concise Guide},
author={Najmi, A.H.},
isbn={9781421405599},
lccn={2011936858},
series={Wavelets},
url={http://books.google.cl/books?id=w6UnCn-WWrAC},
year={2012},
publisher={Johns Hopkins University Press}
}
@book{percival2006wavelet,
title={Wavelet Methods for Time Series Analysis},
author={Percival, D.B. and Walden, A.T.},
isbn={9780521685085},
lccn={00029246},
series={Cambridge Series in Statistical and Probabilistic Mathematics},
url={http://books.google.cl/books?id=UqUi2NviqFcC},
year={2006},
publisher={Cambridge University Press}
}
@book{Chui:1992:IW:163196,
author = {Chui, Charles K.},
title = {An Introduction to Wavelets},
year = {1992},
isbn = {0-12-174584-8},
publisher = {Academic Press Professional, Inc.},
address = {San Diego, CA, USA},
}
@book{resnikoff1998wavelet,
title={Wavelet Analysis: The Scalable Structure of Information : with 92 Figures},
author={Resnikoff, H.L. and Wells, R.O.N.},
isbn={9780387983837},
lccn={97044442},
url={http://books.google.com.qa/books?id=poMzLbTn6JUC},
year={1998},
publisher={Springer New York}
}
@book{Mallat1999,
author = {Mallat, St{\'e}phane},
isbn = {0-12-466606-X},
publisher = {San Diego : Academic Press},
title = {{A Wavelet Tour of Signal Processing}},
year = 1999
}
@book{meyer1990ondelettes,
title={Ondelettes},
author={Meyer, Y.},
lccn={lc90142090},
series={Actualit{\'e}s math{\'e}matiques},
url={http://books.google.cl/books?id=pspwnAEACAAJ},
year={1990},
publisher={Hermann}
}
@book{schuster1906periodicities,
title={On the Periodicities of Sunspots},
author={Schuster, A.},
series={Philosophical transactions of the Royal Society of London : Ser. A},
url={http://books.google.cl/books?id=5enzGgAACAAJ},
year={1906},
publisher={Dulau and Company}
}
@book{books/daglib/0068042,
added-at = {2011-04-19T00:00:00.000+0200},
author = {Hecht-Nielsen, Robert},
biburl = {http://www.bibsonomy.org/bibtex/251cef54bf78c6f18e5d41d4b876f1aef/dblp},
interhash = {1429ad66d2c46f2c82d07a52685cc297},
intrahash = {51cef54bf78c6f18e5d41d4b876f1aef},
isbn = {978-0-201-09355-1},
keywords = {dblp},
pages = {I-XIII, 1-433},
publisher = {Addison-Wesley},
timestamp = {2011-04-19T00:00:00.000+0200},
title = {Neurocomputing.},
year = 1990
}
@book{Azoff:1994:NNT:561452,
author = {Azoff, E. Michael},
title = {Neural Network Time Series Forecasting of Financial Markets},
year = {1994},
isbn = {0471943568},
edition = {1st},
publisher = {John Wiley \& Sons, Inc.},
address = {New York, NY, USA},
}
@book{makridakis1978forecasting,
title={Forecasting: methods and applications},
author={Makridakis, S.G. and Wheelwright, S.C.},
isbn={9780471937708},
lccn={77018806},
series={Wiley/Hamilton series in management and administration},
url={http://books.google.es/books?id=SzxVAAAAMAAJ},
year={1978},
publisher={Wiley}
}
@book{strang1996wavelets,
title={Wavelets and Filter Banks},
author={Strang, G. and Nguyen, T.},
isbn={9780961408879},
lccn={96028791},
url={https://books.google.cl/books?id=Z76N\_Ab5pp8C},
year={1996},
publisher={Wellesley-Cambridge Press}
}
//Capitulos
@inbook{Rum86a,
added-at = {2013-12-08T12:26:18.000+0100},
author = {Rumelhart, D.E. and Hinton, G.E. and Williams, R.J.},
biburl = {http://www.bibsonomy.org/bibtex/22292f46489962ae38d4223074bc00f68/prlz77},
//crossref = {Rum86},
interhash = {dd8485b30b80c7f35263bcb21ed81c1f},
intrahash = {2292f46489962ae38d4223074bc00f68},
keywords = {Error Internal Learning Propagation Representations by},
timestamp = {2013-12-08T12:26:18.000+0100},
title = {Learning Internal Representations by Error Propagation},
year = 1986
}
@book{Fausett:1994:FNN:197023,
editor = {Fausett, Laurene},
title = {Fundamentals of Neural Networks: Architectures, Algorithms, and Applications},
year = {1994},
isbn = {0-13-334186-0},
publisher = {Prentice-Hall, Inc.},
address = {Upper Saddle River, NJ, USA},
}
//Articulos
@Article{Zhang1998,
author={Zhang, Guoqiang and Eddy Patuwo, B. and Y. Hu, Michael},
title={Forecasting with artificial neural networks:: The state of the art},
journal={International Journal of Forecasting},
year=1998,
volume={14},
number={1},
pages={35-62},
}
@article{Werbos:88gasmarket,
added-at = {2008-03-11T14:52:34.000+0100},
author = {Werbos, P. J.},
biburl = {http://www.bibsonomy.org/bibtex/21cf7361576d8abe25f11fff1bdf22aa8/idsia},
citeulike-article-id = {2381662},
interhash = {924e8fa02b9b23ab9d327421262f332f},
intrahash = {1cf7361576d8abe25f11fff1bdf22aa8},
journal = {Neural Networks},
keywords = {juergen},
priority = {2},
timestamp = {2008-03-11T14:52:34.000+0100},
title = {Generalization of Backpropagation with Application to a Recurrent Gas Market Model},
volume = 1,
year = 1988
}
@article{hornik89a,
added-at = {2009-10-27T06:49:28.000+0100},
author = {Hornik, K. and Stinchcombe, M. and White, H.},
biburl = {http://www.bibsonomy.org/bibtex/2895e5e2654209932aa72b1a31feb35b4/chrmina},
description = {Thesis BIB},
interhash = {9948713640c726f50c4c5a57e121f7ac},
intrahash = {895e5e2654209932aa72b1a31feb35b4},
journal = {Neural Networks},
keywords = {imported},
pages = {356-366},
timestamp = {2009-10-27T06:49:28.000+0100},
title = {Multilayer feedforward networks are universal approximators},
volume = 2,
year = 1989
}
@article{journals/ijon/KaastraB96,
added-at = {2007-08-23T00:00:00.000+0200},
author = {Kaastra, Iebeling and Boyd, Milton S.},
biburl = {http://www.bibsonomy.org/bibtex/23fe18230d01c78c2ca8f87a334ec607d/dblp},
date = {2007-08-23},
description = {dblp},
ee = {http://dx.doi.org/10.1016/0925-2312(95)00039-9},
interhash = {163c58d17a32fe91241712c8e9df1425},
intrahash = {3fe18230d01c78c2ca8f87a334ec607d},
journal = {Neurocomputing},
keywords = {dblp},
number = 3,
pages = {215-236},
timestamp = {2007-08-23T00:00:00.000+0200},
title = {Designing a neural network for forecasting financial and economic time series.},
url = {http://dblp.uni-trier.de/db/journals/ijon/ijon10.html#KaastraB96},
volume = 10,
year = 1996
}
@ARTICLE{76685,
author={Park, D.C. and El-Sharkawi, M.A and Marks, R.J., II and Atlas, L.E. and Damborg, M.J.},
journal={Power Systems, IEEE Transactions on},
title={Electric load forecasting using an artificial neural network},
year={1991},
month={May},
volume={6},
number={2},
pages={442-449},
keywords={load forecasting;neural nets;power engineering computing;artificial neural network;data interpolation;load data;temperature data;Artificial neural networks;Economic forecasting;Information security;Load forecasting;Power engineering computing;Power generation economics;Power systems;Temperature;Training data;Weather forecasting},
doi={10.1109/59.76685},
ISSN={0885-8950},
}
@article{journals/nn/HappelM94,
added-at = {2005-12-15T00:00:00.000+0100},
author = {Happel, Bart L. M. and Murre, Jacob M. J.},
biburl = {http://www.bibsonomy.org/bibtex/2210307f6c55b952a1eab95897a71aceb/dblp},
date = {2005-12-15},
description = {dblp},
ee = {http://dx.doi.org/10.1016/S0893-6080(05)80155-8},
interhash = {f5973ac3a614a6269d8612d66de3751c},
intrahash = {210307f6c55b952a1eab95897a71aceb},
journal = {Neural Networks},
keywords = {dblp},
number = {6-7},
pages = {985-1004},
timestamp = {2005-12-15T00:00:00.000+0100},
title = {Design and evolution of modular neural network architectures.},
url = {http://dblp.uni-trier.de/db/journals/nn/nn7.html#HappelM94},
volume = 7,
year = 1994
}
@article{journals/tcs/MichalakK07,
added-at = {2007-02-26T00:00:00.000+0100},
author = {Michalak, Krzysztof and Kwasnicka, Halina},
biburl = {http://www.bibsonomy.org/bibtex/24e60fcc690c4fe85fd98e02fdb6515c4/dblp},
date = {2007-02-26},
description = {dblp},
ee = {http://dx.doi.org/10.1016/j.tcs.2006.10.014},
interhash = {f873fb289c090027a462546b26536e77},
intrahash = {4e60fcc690c4fe85fd98e02fdb6515c4},
journal = {Theor. Comput. Sci.},
keywords = {dblp},
number = {1-2},
pages = {62-71},
timestamp = {2007-02-26T00:00:00.000+0100},
title = {Influence of data dimensionality on the quality of forecasts given by a multilayer perceptron.},
url = {http://dblp.uni-trier.de/db/journals/tcs/tcs371.html#MichalakK07},
volume = 371,
year = 2007
}
@article{Balestrassi:2009:DEN:1496399.1496576,
author = {Balestrassi, P. P. and Popova, E. and Paiva, A. P. and Marangon Lima, J. W.},
title = {Design of Experiments on Neural Network's Training for Nonlinear Time Series Forecasting},
journal = {Neurocomput.},
issue_date = {January, 2009},
volume = {72},
number = {4-6},
month = jan,
year = {2009},
issn = {0925-2312},
pages = {1160--1178},
numpages = {19},
url = {http://dx.doi.org/10.1016/j.neucom.2008.02.002},
doi = {10.1016/j.neucom.2008.02.002},
acmid = {1496576},
publisher = {Elsevier Science Publishers B. V.},
address = {Amsterdam, The Netherlands, The Netherlands},
keywords = {Artificial Neural Network, Design of Experiment, Nonlinear time series},
}
@article{citeulike:7130383,
author = {Haar, Alfred},
citeulike-article-id = {7130383},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/bf01456326},
citeulike-linkout-1 = {http://www.springerlink.com/content/v1n8787g737j5k64},
day = {1},
doi = {10.1007/bf01456326},
issn = {0025-5831},
journal = {Mathematische Annalen},
keywords = {wavelets},
month = sep,
number = {3},
pages = {331--371},
posted-at = {2010-05-05 18:16:46},
priority = {2},
title = {{Zur Theorie der orthogonalen Funktionensysteme}},
url = {http://dx.doi.org/10.1007/bf01456326},
volume = {69},
year = {1910}
}
@article{Grossmann-1984,
doi = {10.1137/0515056},
title = {Decomposition of Hardy Functions into Square Integrable Wavelets of Constant Shape},
author = {Grossmann, A.; Morlet, J.},
publisher = {Society for Industrial and Applied Mathematics},
journal = {SIAM Journal on Mathematical Analysis},
issnp = {0036-1410},
year = {1984},
volume = {15},
issue = {4},
page = {723--0},
url = {http://libgen.org/scimag/index.php?s=10.1137/0515056},
}
@article{timeandtide,
year={2014},
issn={0930-7575},
journal={Climate Dynamics},
doi={10.1007/s00382-014-2224-3},
title={Time and tide: analysis of sea level time series},
url={http://dx.doi.org/10.1007/s00382-014-2224-3},
publisher={Springer Berlin Heidelberg},
keywords={Time series; Sea level; Climate oscillations},
author={Foster, Grant and Brown, PatrickT.},
pages={1-18},
language={English}
}
@article{Lippmann87,
added-at = {2008-03-28T12:11:30.000+0100},
author = {Lippmann, R. P.},
biburl = {http://www.bibsonomy.org/bibtex/28687771998fd0e777572272a0d017a7d/stumme},
interhash = {d9050bc2c4ea3015622f27626e253432},
intrahash = {8687771998fd0e777572272a0d017a7d},
journal = {IEEE Acoustics, Speech and Signal Processing Magazine},
keywords = {FCA OntologyHandbook},
month = {April},
number = 2,
pages = {4--22},
publisher = {IEEE Computer Society Press},
timestamp = {2008-03-28T12:11:30.000+0100},
title = {An introduction to computing with neural networks},
volume = 4,
year = 1987
}
@article{journals/ijon/Wong90,
added-at = {2011-08-30T00:00:00.000+0200},
author = {Wong, Francis S.},
biburl = {http://www.bibsonomy.org/bibtex/251b100e9c3e8366e8b6c5e5cd8695b85/dblp},
ee = {http://dx.doi.org/10.1016/0925-2312(91)90045-D},
interhash = {3c92111197b4e80788f4c01ee0e23041},
intrahash = {51b100e9c3e8366e8b6c5e5cd8695b85},
journal = {Neurocomputing},
keywords = {dblp},
number = 4,
pages = {147-159},
timestamp = {2011-08-30T00:00:00.000+0200},
title = {Time series forecasting using backpropagation neural networks.},
url = {http://dblp.uni-trier.de/db/journals/ijon/ijon2.html#Wong90},
volume = 2,
year = 1990
}
@article{journals/informs/TangF93,
added-at = {2009-09-08T00:00:00.000+0200},
author = {Tang, Zaiyong and Fishwick, Paul A.},
biburl = {http://www.bibsonomy.org/bibtex/2878cd06e0491f3d4443465325f7a6429/dblp},
date = {2009-09-08},
description = {dblp},
ee = {http://dx.doi.org/10.1287/ijoc.5.4.374},
interhash = {0f80c9128ebea792fadebd417c83d993},
intrahash = {878cd06e0491f3d4443465325f7a6429},
journal = {INFORMS Journal on Computing},
keywords = {dblp},
number = 4,
pages = {374-385},
timestamp = {2009-09-08T00:00:00.000+0200},
title = {Feedforward Neural Nets as Models for Time Series Forecasting.},
url = {http://dblp.uni-trier.de/db/journals/informs/informs5.html#TangF93},
volume = 5,
year = 1993
}
@article{journals/tnn/ChenC95a,
added-at = {2013-11-05T00:00:00.000+0100},
author = {Chen, Tianping and Chen, Hong},
biburl = {http://www.bibsonomy.org/bibtex/2145c91bc3355a94fcbc24822c40add1a/dblp},
ee = {http://dx.doi.org/10.1109/72.392253},
interhash = {a4469adfce7087b2808b056d6c034f3e},
intrahash = {145c91bc3355a94fcbc24822c40add1a},
journal = {IEEE Transactions on Neural Networks},
keywords = {dblp},
number = 4,
pages = {911-917},
timestamp = {2013-11-05T00:00:00.000+0100},
title = {Universal approximation to nonlinear operators by neural networks with arbitrary activation functions and its application to dynamical
systems.},
url = {http://dblp.uni-trier.de/db/journals/tnn/tnn6.html#ChenC95a},
volume = 6,
year = 1995
}
@article{breast-sea-level,
year={2006},
issn={1616-7341},
journal={Ocean Dynamics},
volume={56},
number={5-6},
doi={10.1007/s10236-005-0044-z},
title={Brest sea level record: a time series construction back to the early eighteenth century},
url={http://dx.doi.org/10.1007/s10236-005-0044-z},
publisher={Springer-Verlag},
keywords={Sea level changes; Tide gauge records; Climate change; Brest},
author={Wöppelmann, Guy and Pouvreau, Nicolas and Simon, Bernard},
pages={487-497},
language={English}
}
@article{Menendez01082009,
author = {Menendez, Melisa and Mendez, Fernando J. and Losada, Inigo J.},
title = {Forecasting seasonal to interannual variability in extreme sea levels},
volume = {66},
number = {7},
pages = {1490-1496},
year = {2009},
doi = {10.1093/icesjms/fsp095},
abstract ={
Menendez, M., Mendez, F. J., and Losada, I. J. 2009. Forecasting seasonal to interannual variability in extreme sea levels. – ICES Journal of Marine Science, 66: 1490–1496.A statistical model to predict the probability of certain extreme sea levels occurring is presented. The model uses a time-dependent generalized extreme-value (GEV) distribution to fit monthly maxima series, and it is applied for a particular time-series record for the Atlantic Ocean (Newlyn, UK). The model permits the effects of seasonality, interannual variability, and secular trends to be identified and estimated in the probability distribution of extreme sea levels. These factors are parameterized as temporal functions (linear, quadratic, exponential, and periodic functions) or covariates (for instance, the North Atlantic Oscillation index), which automatically yield the best-fit model for the variability present in the data. A clear pattern of within-year variability and significant effects resulting from astronomical modulations (the nodal cycle and perigean tides) are detected. Modelling different time-scales helps to gain a better understanding of recent secular trends regarding extreme climate events, and it allows predictions to be made (for example, up to 2020) about the probability of the future occurrence of a particular sea level.},
URL = {http://icesjms.oxfordjournals.org/content/66/7/1490.abstract},
eprint = {http://icesjms.oxfordjournals.org/content/66/7/1490.full.pdf+html},
journal = {ICES Journal of Marine Science: Journal du Conseil}
}
@article{baker,
title = {Periodicities in mean sea-level fluctuations and climate change proxies:: Lessons from the modelling for coastal management},
journal = {Ocean \& Coastal Management},
volume = {98},
number = {0},
pages = {187 - 201},
year = {2014},
note = {},
issn = {0964-5691},
doi = {http://dx.doi.org/10.1016/j.ocecoaman.2014.05.027},
url = {http://www.sciencedirect.com/science/article/pii/S0964569114001781},
author = {R.G.V. Baker and S.A. McGowan}
}
@article{watson-sea,
author = {Watson},
citeulike-article-id = {11286685},
citeulike-linkout-0 = {http://dx.doi.org/10.2112/jcoastres-d-10-00141.1},
doi = {10.2112/jcoastres-d-10-00141.1},
issn = {07490208},
journal = {Journal of Coastal Research},
keywords = {sea\_level},
posted-at = {2012-09-21 11:19:59},
priority = {2},
title = {{Is There Evidence Yet of Acceleration in Mean Sea Level Rise around Mainland Australia?}},
url = {http://dx.doi.org/10.2112/jcoastres-d-10-00141.1},
year = {2011}
}
@article{Boretti2012319,
title = "Short term comparison of climate model predictions and satellite altimeter measurements of sea levels ",
journal = "Coastal Engineering ",
volume = "60",
number = "0",
pages = "319 - 322",
year = "2012",
note = "",
issn = "0378-3839",
doi = "http://dx.doi.org/10.1016/j.coastaleng.2011.10.005",
url = "http://www.sciencedirect.com/science/article/pii/S0378383911001712",
author = "Alberto A. Boretti",
keywords = "Climate models",
keywords = "Sea level rise",
keywords = "Satellite altimeter measurements",
keywords = "Statistical analysis",
keywords = "Curve fitting ",
abstract = "Climate models (http://climatecommission.govspace.gov.au/files/2011/05/4108-CC-Science-Update-PRINT-CHANGES.pdf, 2011; http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm, 2011; Rahmstorf, 2007, 2010) calculate that temperatures are increasing globally and sea level rises are increasing due to anthropogenic carbon dioxide emissions. More recent predictions (http://climatecommission.govspace.gov.au/files/2011/05/4108-CC-Science-Update-PRINT-CHANGES.pdf, 2011; Rahmstorf, 2007, 2010) have forecasted that sea level rises by 2100 will be higher than the 2007 projections by the Intergovernmental Panel on Climate Change (http://www.ipcc.ch/publications_and_data/publications_ipcc_fourth_assessment_report_synthesis_report.htm, 2011), with projected sea level rises increasing from 18–59 cm to 100 cm. In this brief communication, the predictions of Rahmstorf (2007) are validated against the experimental evidence over a 20 year period. The University of Colorado Sea Level satellite monitoring shows that the rate of rise of the sea level is not only well below the values computed in http://climatecommission.govspace.gov.au/files/2011/05/4108-CC-Science-Update-PRINT-CHANGES.pdf (2011) and Rahmstorf (2007, 2010), but actually reducing rather than increasing (http://sealevel.colorado.edu/, 2011b; 10,11). These results suggest that sea level predictions based solely on the presumed temperature evolution may fail to accurately predict the long term sea levels at the end of the century. "
}
@article{Maheswaran2012284,
title = "Comparative study of different wavelets for hydrologic forecasting ",
journal = "Computers \& Geosciences ",
volume = "46",
number = "0",
pages = "284 - 295",
year = "2012",
note = "",
issn = "0098-3004",
doi = "http://dx.doi.org/10.1016/j.cageo.2011.12.015",
url = "http://www.sciencedirect.com/science/article/pii/S0098300411004390",
author = "R. Maheswaran and Rakesh Khosa",
keywords = "Wavelets",
keywords = "Forecasting",
keywords = "Selection of mother wavelets",
keywords = "Stream flow "
}
@article{Nelso-2000,
doi = {10.2307/25569290},
title = {Time Series Analysis of Air Pollution and Mortality: Effects by Cause, Age and Socioeconomic Status},
author = {Nelson Gouveia and Tony Fletcher},
publisher = {BMJ Publishing Group},
journal = {Journal of Epidemiology \& Community Health},
issnp = {0143-005X},
issne = {1470-2738},
year = {2000},
month = {10},
volume = {54},
issue = {10},
page = {750--755},
url = {http://gen.lib.rus.ec/scimag/index.php?s=10.2307/25569290},
}
@MISC{Nazzal_multilayerperceptron,
author = {Jamal M. Nazzal and Ibrahim M. El-emary and Salam A. Najim},
title = {Multilayer Perceptron Neural Network (MLPs) For Analyzing the Properties of Jordan Oil Shale 1},
year = {}
}
@MISC{Graves08anovel,
author = {Alex Graves and Marcus Liwicki and Santiago Fernandez and Roman Bertolami and Horst Bunke and Jürgen Schmidhuber},
title = {A Novel Connectionist System for Unconstrained Handwriting Recognition},
year = {2008}
}
@article{Elman1990,
added-at = {2011-05-27T04:38:13.000+0200},
author = {Elman, J. L.},
biburl = {http://www.bibsonomy.org/bibtex/250bb471f2d155c1f25d77149868e4ef9/jabreftest},
description = {Finding structure in time},
groups = {public},
interhash = {8770242c4eff4016d2408ab338039b7c},
intrahash = {50bb471f2d155c1f25d77149868e4ef9},
journal = {Cognitive Science},
keywords = {},
pages = {213â252--},
refid = {526},
timestamp = {2011-05-27T04:38:13.000+0200},
title = {Finding structure in time},
username = {jabreftest},
volume = 14,
year = 1990
}
@article{Ardalani-Farsa:2010:CTS:1840003.1840129,
author = {Ardalani-Farsa, Muhammad and Zolfaghari, Saeed},
title = {Chaotic Time Series Prediction with Residual Analysis Method Using Hybrid Elman-NARX Neural Networks},
journal = {Neurocomput.},
issue_date = {August, 2010},
volume = {73},
number = {13-15},
month = aug,
year = {2010},
issn = {0925-2312},
pages = {2540--2553},
numpages = {14},
url = {http://dx.doi.org/10.1016/j.neucom.2010.06.004},
doi = {10.1016/j.neucom.2010.06.004},
acmid = {1840129},
publisher = {Elsevier Science Publishers B. V.},
address = {Amsterdam, The Netherlands, The Netherlands},
keywords = {Chaos theory, Elman neural network, Embedding theorem, NARX neural network, Nonlinear time series prediction, Residual analysis},
}
@article{mallat89,
added-at = {2009-09-10T14:36:22.000+0200},
author = {Mallat, S. G.},
biburl = {http://www.bibsonomy.org/bibtex/21f6ea8b86a3756e3d02f3ba12614335f/gregoryy},
interhash = {c20a6d32f260fc7dac3e499bae0d5099},
intrahash = {1f6ea8b86a3756e3d02f3ba12614335f},
journal = {IEEE Trans, on Pattern Analysis and Machine Intelligence},
keywords = {math},
month = Jul,
number = 7,
pages = {674-693},
timestamp = {2009-09-10T14:36:22.000+0200},
title = {A Theory for Multiresolution Signal Decomposition: The Wavelet Representation},
volume = {PAMI-11},
year = 1989
}
@article{DeGooijer2006,
added-at = {2008-04-22T15:17:45.000+0200},
author = {Gooijer, Jan G. De and Hyndman, Rob J.},
biburl = {http://www.bibsonomy.org/bibtex/2bbbd2607f3694be5073c6ef4d08ab4b0/smicha},
interhash = {8cafed50597d8c2b4aaf4f60da02f540},
intrahash = {bbbd2607f3694be5073c6ef4d08ab4b0},
journal = {International Journal of Forecasting},
keywords = {Accuracy measures},
number = 3,
pages = {443--473},
timestamp = {2008-04-22T15:17:45.000+0200},
title = {25 years of time series forecasting},
url = {http://www.sciencedirect.com/science/article/B6V92-4JS1MNV-2/1/eb8bfbbbe753964a49e1b5beac7dba90},
volume = 22,
year = 2006
}
@article{Ingri-1988,
doi = {10.1002/cpa.3160410705},
title = {Orthonormal bases of compactly supported wavelets},
author = {Ingrid Daubechies},
publisher = {John Wiley and Sons},
journal = {Communications on Pure and Applied Mathematics},
issnp = {0010-3640},
issne = {1097-0312},
year = {1988},
volume = {41},
issue = {7},
page = {909--996},
url = {http://libgen.org/scimag/index.php?s=10.1002/cpa.3160410705},
}
@article{journals/tnn/SastrySU94,
added-at = {2013-11-05T00:00:00.000+0100},
author = {Sastry, P. S. and Santharam, G. and Unnikrishnan, K. P.},
biburl = {http://www.bibsonomy.org/bibtex/2545f204a3381be3734ae0ab332a63b30/dblp},
ee = {http://dx.doi.org/10.1109/72.279193},
interhash = {ba63e677147864c54929a1c927a3d79f},
intrahash = {545f204a3381be3734ae0ab332a63b30},
journal = {IEEE Transactions on Neural Networks},
keywords = {dblp},
number = 2,
pages = {306-319},
timestamp = {2013-11-05T00:00:00.000+0100},
title = {Memory neuron networks for identification and control of dynamical systems.},
url = {http://dblp.uni-trier.de/db/journals/tnn/tnn5.html#SastrySU94},
volume = 5,
year = 1994
}
@article{Srinivasan1994227,
title = "A neural network short-term load forecaster ",
journal = "Electric Power Systems Research ",
volume = "28",
number = "3",
pages = "227 - 234",
year = "1994",
note = "",
issn = "0378-7796",
doi = "http://dx.doi.org/10.1016/0378-7796(94)90037-X",
url = "http://www.sciencedirect.com/science/article/pii/037877969490037X",
author = "Dipti Srinivasan and A.C. Liew and C.S. Chang",
keywords = "Short-term load forecasting",
keywords = "Neural network "
}
@article{Ioa-2003,
doi = {10.1016/s0020-0190(02)00447-7},
title = {The particle swarm optimization algorithm: convergence analysis and parameter selection},
author = {Ioan Cristian Trelea},
publisher = {Elsevier Science},
journal = {Information Processing Letters},
issnp = {0020-0190},
year = {2003},
volume = {85},
issue = {6},
page = {317--325},
url = {http://gen.lib.rus.ec/scimag/index.php?s=10.1016/s0020-0190(02)00447-7},
}
@incollection{Weigend92HubermanRumelhart,
author = {Weigend, A. S. and Huberman, B. A. and Rumelhart, D. E.},
booktitle = {Nonlinear modeling and forecasting},
citeulike-article-id = {1055597},
editor = {Casdagli, M. and Eubank, S.},
keywords = {bibtex-import},
pages = {395--432},
posted-at = {2007-01-20 09:02:21},
priority = {2},
publisher = {Addison-Wesley},
title = {{Predicting Sunspots and Exchange Rates with Connectionist Networks}},
year = {1992}
}
@article {FOR:FOR3980140405,
author = {Lachtermacher, Gerson and Fuller, J. David},
title = {Back propagation in time-series forecasting},
journal = {Journal of Forecasting},
volume = {14},
number = {4},
publisher = {John Wiley & Sons, Ltd.},
issn = {1099-131X},
url = {http://dx.doi.org/10.1002/for.3980140405},
doi = {10.1002/for.3980140405},
pages = {381--393},
keywords = {Back propagation, neural networks, time-series analysis, Box-Jenkins methods, one-step-ahead and multi-step-ahead},
year = {1995},
}
@article{Meyssignac201296,
title = "Sea level: A review of present-day and recent-past changes and variability ",
journal = "Journal of Geodynamics ",
volume = "58",
number = "0",
pages = "96 - 109",
year = "2012",
note = "",
issn = "0264-3707",
doi = "http://dx.doi.org/10.1016/j.jog.2012.03.005",
url = "http://www.sciencedirect.com/science/article/pii/S0264370712000464",
author = "Benoit Meyssignac and Anny Cazenave",
keywords = "Sea level",
keywords = "Altimetry",
keywords = "Global mean sea level",
keywords = "Regional sea level",
keywords = "Sea level reconstruction",
keywords = "Climate change ",
abstract = "In this review article, we summarize observations of sea level variations, globally and regionally, during the 20th century and the last 2 decades. Over these periods, the global mean sea level rose at rates of 1.7 mm/yr and 3.2 mm/yr respectively, as a result of both increase of ocean thermal expansion and land ice loss. The regional sea level variations, however, have been dominated by the thermal expansion factor over the last decades even though other factors like ocean salinity or the solid Earth's response to the last deglaciation can have played a role. We also present examples of total local sea level variations that include the global mean rise, the regional variability and vertical crustal motions, focusing on the tropical Pacific islands. Finally we address the future evolution of the global mean sea level under on-going warming climate and the associated regional variability. Expected impacts of future sea level rise are briefly presented. "
}
@article{church,
author = {Church, J. and Hunter, J. and Mcinnes, K. and White, N.},
citeulike-article-id = {2928286},
journal = {Australian Meteorological Magazine},
keywords = {file-import-08-06-26},
number = {4},
posted-at = {2008-06-26 05:42:30},
priority = {0},
title = {{Sea-level rise around the Australian coastline and the changing frequency of extreme sea-level events}},
volume = {55},
year = {2006}
}
@article{Parker201363,
title = "Sea-level trend analysis for coastal management ",
journal = "Ocean \& Coastal Management ",
volume = "73",
number = "0",
pages = "63 - 81",
year = "2013",
note = "",
issn = "0964-5691",
doi = "http://dx.doi.org/10.1016/j.ocecoaman.2012.12.005",
url = "http://www.sciencedirect.com/science/article/pii/S0964569112003304",
author = "A. Parker and M. Saad Saleem and M. Lawson",
abstract = "A proper coastal management requires an accurate estimation of sea level trends locally and globally. It is claimed that the sea levels are rising following an exponential growth since the 1990s, and because of that coastal communities are facing huge challenges. Many local governments throughout Australia, including those on the coast, have responded to the various warnings about changes in climate and increases in sea levels by undertaking detailed climate change risk management exercises. These exercises, which use projections passed on by the relevant state bodies, are expensive, but still a fraction of the cost of the capital works that they recommend. Several councils have complained to an Australian Productivity Commission report on climate change adaptation they do not have the money for the capital works required. It is shown here that the exponential growth claim is not supported by any measurement of enough length and quality when properly analysed. The tide gauge results do not support the exponential growth theory. The projections by the relevant state bodies should therefore be revised by considering the measurements and not the models to compute the future sea level rises for the next 30 years following the same trend experienced over the last 30 years. "
}
@article{cybenko,
year={1989},
issn={0932-4194},
journal={Mathematics of Control, Signals and Systems},
volume={2},
number={4},
doi={10.1007/BF02551274},
title={Approximation by superpositions of a sigmoidal function},
url={http://dx.doi.org/10.1007/BF02551274},
publisher={Springer-Verlag},
keywords={Neural networks; Approximation; Completeness},
author={Cybenko, G.},
pages={303-314},
language={English}
}
@ARTICLE{58342,
author={Jones, L.K.},
journal={Proceedings of the IEEE},
title={Constructive approximations for neural networks by sigmoidal functions},
year={1990},
month={Oct},
volume={78},
number={10},
pages={1586-1589},
keywords={function approximation;neural nets;Cybenko;Hahn-Branch theorem;constructive approximations;mappings;neural networks;sigmoidal functions;Frequency;Mathematics;Neural networks;Neurons;Pursuit algorithms;Visualization},
doi={10.1109/5.58342},
ISSN={0018-9219},}
@article{Bai-Lin-2001,
doi = {10.1016/s0378-7796(01)00138-9},
title = {An adaptive neural-wavelet model for short term load forecasting},
author = {Bai-Ling Zhang; Zhao-Yang Dong},
publisher = {Elsevier Science},
journal = {Electric Power Systems Research},
issnp = {0378-7796},
year = {2001},
volume = {59},
issue = {2},
page = {121--129},
url = {http://gen.lib.rus.ec/scimag/index.php?s=10.1016/s0378-7796(01)00138-9},
}
@article{kihoro2004seasonal,
title={Seasonal time series forecasting: a comparative study of ARIMA and ANN models},
author={Kihoro, JM and Otieno, RO and Wafula, C},
journal={AJST},
volume={5},
number={2},
year={2004},
publisher={Citeseer}
}
@article{adhikari2013,
year={2014},
issn={0941-0643},
journal={Neural Computing and Applications},
volume={24},
number={6},
doi={10.1007/s00521-013-1386-y},
title={A combination of artificial neural network and random walk models for financial time series forecasting},
url={http://dx.doi.org/10.1007/s00521-013-1386-y},
publisher={Springer London},
keywords={Financial time series; Forecasting; Random walk; Artificial neural networks; Elman networks},
author={Adhikari, Ratnadip and Agrawal, R.K.},
pages={1441-1449},
language={English}
}
@article{Yule-1927,
doi = {10.1098/rsta.1927.0007},