ahmadjordan
Researcher in learning-based modeling and control of dynamic systems. PhD in Mechanical/Mechatronics engineering
Pinned Repositories
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.
strapi-cloud-template-blog-7e7e09d0be
ahmadjordan's Repositories
ahmadjordan/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.
ahmadjordan/LIEV-GRNN
Limited Incremental Evolution General Regression Neural Networks
ahmadjordan/ahmadjordan.github.io
ahmadjordan/ahmdjordan
codes
ahmadjordan/cleanrl
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
ahmadjordan/evolving_systems
Evolving systems for modeling and control
ahmadjordan/evolvingsystems.github.io
ahmadjordan/github-slideshow
A robot powered training repository :robot:
ahmadjordan/neupy
NeuPy is a Python library for Artificial Neural Networks and Deep Learning.
ahmadjordan/tao-1.10.1-p3
branch of original tao code