A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)
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Updated
Mar 24, 2023 - Python
A Tensorflow implementation of the Adaptive Neuro-Based Fuzzy Inference System (ANFIS)
Multivariate Regression and Classification Using an Adaptive Neuro-Fuzzy Inference System (Takagi-Sugeno) and Particle Swarm Optimization.
A Python implementation of the Differential Evolution algorithm for the optimization of Fuzzy Inference Systems.
An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".
Computer Intelligence subject final project at UPC.
Adaptive network-based fuzzy inference system with correlated residuals (e.g., spatial/temporal correlation)
Fuzzy Q learning in Tensorflow , Training an ANFIS.
Implementation of ANFIS using the pyTorch framework | PyTorch ANFIS浅析
ANFIS PSO Curve Fitting Solver
Design of Expert Systems
Example machine learning applications for the determination of the residual yield force of corroded steel bars tested under monotonic tensile loading. Data is collected from 26 experimental programs avaialbe in the literature.
Synthetic Depth Data Generation Using Simulated Annealing (on Body Tracking Modality)
Project that will allow you to use Fuzzy Logic in conjunction with pytorch.
Predicting Tehran stock market index based on historical index, gold, brent oil, and dollar prices
Study of the performance of various regressor models on the prediction of progression of the Parkinson’s disease’s total and motor UPDRS metrics.
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