Learning of Artificial Neural Networks by Genetic Algorithms.

Different Aspects for Enhancing The Backpropagation Neural Networks

An Enhanced Genetic Algorithm for Optimizing and Controlling Dynamic Systems at Real-Time

Dynamic Recurrent Neural Network Based Indirect Adaptive Control for Nonlinear Systems

Genetic Programming for Modeling a Nonlinear Optical System

ADAPTIVE NEURAL NETWORK FOR REAL-TIME TRACKING CONTROL OF A DRIVE SYSTEM

Evaluation of Differential Evolution and Particle Swarm Optimization Algorithms at Training of Neural Network for prediction

A Comparison Study between Inferred State-Space and Neural Network Based System Identifications Using Adaptive Genetic Algorithm for Unmanned Helicopter Model

A Comparative Approach to Accelerate Backpropagation Neural Network Learning using different Activation Functions

A DESCRIBING FUNCTION FOR MULTIPLE NONLINEARITY CONTROL SYSTEMS