A comprehensive survey on optimizing deep learning models by metaheuristics
Deep neural networks (DNNs), which are extensions of artificial neural networks, can learn
higher levels of feature hierarchy established by lower level features by transforming the raw …
higher levels of feature hierarchy established by lower level features by transforming the raw …
Evolving topology and weights of specialized and non-specialized neuro-controllers for robot motion in various environments
A Salih, A Moshaiov - Neural Computing and Applications, 2022 - Springer
This paper deals with the topology and weight evolution of Neuro-Controllers (NCs). It
focuses on meta-problems of developing motion controllers that can operate successfully in …
focuses on meta-problems of developing motion controllers that can operate successfully in …