ahmadjordan Goto Github PK

ahmadjordan.github.io

ahmdjordan

codes

cleanrl

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features

evolving_systems

Evolving systems for modeling and control

evolvingsystems.github.io

github-slideshow

A robot powered training repository :robot:

liev-grnn

Limited Incremental Evolution General Regression Neural Networks

neupy

NeuPy is a Python library for Artificial Neural Networks and Deep Learning.

neuro_fuzzy

n this work, a neuro-fuzzy system (NFS)-based autonomous and adaptive controller termed as the hybrid auto-adaptive controller (HAC) is developed. HAC combines a simplified NFS (Simp_NFS) and a simplified neural network (Simp_NN). Unlike conventional NFS, in this study, hyper-plane-shaped clusters (HPSCs) are utilized in Simp_NFS, which has no learning parameters like mean and variance in the antecedent part. Only the consequent parameter needs to be adapted, where the adaptation laws are derived from the Simp_NN. The number of learning parameters in Simp_NN reduced to one by replacing the weights between the hidden and output layers with their mean value.

tao-1.10.1-p3

branch of original tao code