Neuro-fuzzy is a repository focused on implementing Adaptive Neuro Fuzzy Inference System (ANFIS) for two distinct applications: Capacitive Deionization and Power Prediction.
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Updated
May 15, 2024 - Jupyter Notebook
Neuro-fuzzy is a repository focused on implementing Adaptive Neuro Fuzzy Inference System (ANFIS) for two distinct applications: Capacitive Deionization and Power Prediction.
ANFIS module for data prediction
Source code from the NEFUSI project
Familiarization with Fuzzy Logic Designer Toolbox of MATLAB. Implementation of rules base, for a PI Fuzzy controller, a self driving car and development of neuro-fuzzy models.
This repository has some implementations about fuzzy theory and fuzzy neural networks.
Python implementation for the assignments of the course BITS F312 ( Neural Network and Fuzzy Logic )
Este repositório contém implementações de algoritmos de redes neurais desenvolvidos como parte da disciplina de Inteligência Computacional. Aqui você encontrará implementações do Perceptron, Multilayer Perceptron (MLP), C-means e Neuro Fuzzy.
Neurofuzzy Semantic Similarity Measurement
Backpropagation algorithm in order to train an adaptive neuro-fuzzy inference system (ANFIS)
Fuzzy Q learning in Tensorflow , Training an ANFIS.
free library for clustering and neuro-fuzzy systems
Experimental Python implementation of the Clarion cognitive architecture
MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
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