Neural Networks and Learning Algorithms in MATLAB
Ardashir Mohammadazadeh, Shenyang University of Technology;
Mohammad Hosein Sabzalian, University of Campinas;
Oscar Castillo, Tijuana Institute of Technology;
Rathinasamy Sakthivel, Bharathiar University;
Fayez F. M. El-Sousy, Prince Sattam Bin Abdulaziz University;
Saleh Mobayen, Shenyang University of Technology
Springer International Publishing, 2022
ISBN: 3031145712;
Language: English
Neural Networks and Learning Algorithms in MATLAB explains the basic concepts, theory and applications of neural networks in a simple unified approach with clear examples and simulations in the MATLAB programming language. The scripts herein are coded for general purposes to be easily extended to a variety of problems in different areas of application. They are vectorized and optimized to run faster and be applicable to high-dimensional engineering problems. This book will serve as a main reference for graduate and undergraduate courses in neural networks and applications. This book will also serve as a main basis for researchers dealing with complex problems that require neural networks for finding good solutions in areas, such as time series prediction, intelligent control and identification. In addition, the problem of designing neural network by using metaheuristics, such as the genetic algorithms and particle swarm optimization, with one objective and with multiple objectives, is presented.
