MFRFNN: Multi-Functional Recurrent Fuzzy Neural Network for Chaotic Time Series Prediction
Experimental Python implementation of the Clarion cognitive architecture
free library for clustering and neuro-fuzzy systems
Fuzzy Q learning in Tensorflow , Training an ANFIS.
Backpropagation algorithm in order to train an adaptive neuro-fuzzy inference system (ANFIS)
🌌 Материалы по курсам кафедры ИУ7 МГТУ им. Н. Э. Баумана, связанным с машинным обучением.
Python implementation for the assignments of the course BITS F312 ( Neural Network and Fuzzy Logic )
PyTorch-based toolbox for designing, training, and analyzing ANFIS-based neuro-fuzzy models
Intelligent analysis of industrial process data using neural networks, fuzzy clustering, ANFIS, and hybrid neuro-fuzzy models in MATLAB.
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.
A hybrid AI model for predicting failures in water distribution systems using Adaptive Neuro-Fuzzy Inference System (ANFIS). The model integrates Genetic Algorithms (GA) and Ant Colony Optimization (ACO) to improve the accuracy of accident prediction.
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.
Source code from the NEFUSI project
Neurofuzzy Semantic Similarity Measurement
Neuro-Fuzzy Random Vector Functional Link Neural Network (Interpretable Tabular Model) - IEEE TFS 2024
Proprietary AI-powered interior layout generation studio. Combines Natural Language Processing, Neuro-Fuzzy Logic, and Evolutionary Genetic Algorithms for real-time 3D spatial optimization.
Brain tumor classification using Fuzzy Capsule Neural Network on MRI images.
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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