Typesafe, purely functional Computational Intelligence
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Updated
Aug 5, 2022 - Scala
Typesafe, purely functional Computational Intelligence
Spare material for Computational Intelligence 01URROV @ Politecnico di Torino
A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)
Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets et libs open source.
Computational Intelligence Class (University of Guilan) - Fall 2019
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
L2O/NCO codes from CIAM Group at SUSTech, Shenzhen, China
Computational Intelligence Class (University of Guilan) - Spring 2021
Genetics (Initialization, Selection, Crossover, Mutation)
Berisi kumpulan algoritma dari Machine Learning dan Computational Intelligance
🚥 An Artificial Neural Network based Traffic Light Controller for intersections. Computational Intelligence class final project.
Drugs with similar side-effects are potential candidates for use elsewhere, the supposition is that similar side-effects may be caused by drugs targeting similar proteins.
A collection of literature on the use of computational intelligence methods in sports
A network-based approach to study swarm intelligence
Demo of a Fuzzy Logic-based CPU Fan Speed Controller
This is the first project of the Bioinspired Optimization class given by Professor Erick Barboza, PhD. We analyze the impact of different parameters on the Particle Swarm Optimization and Genetic Algorithm.
Design of Strong Fuzzy Partitions from Cuts
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