System Analysis and Design Based on MATLAB 6.X - Neural Networks (Second Edition)

Author: Xu Dong
Publisher:
Publish Date: 1998-09-01
Features: NATKAB is a mathematical software proposed by the American Mathworks company. Its excellent numerical computing capabilities and powerful extension functions provide strong support for users in various fields, thus gaining widespread attention from scholars, experts, and engineers. This book briefly introduces the basic theory of neural networks, which is a field of active research and has broad application prospects in recent years. It also provides a detailed introduction to the use of the Neural Network Toolbox provided by MATLAB 6.x. Finally, it uses a large number of design examples to illustrate the methods of neural network design and application based on MATLAB 6.0x. This book can serve as a reference for college and university teachers and students engaged in neural network research and application, as well as for a broad range of researchers and engineers. It may also be useful for researchers in other fields as a source of inspiration. Additionally, this book can be used as a reference for those studying neural network theory courses. NATKAB is a mathematical software proposed by the American Mathworks company. Its excellent numerical computing capabilities and powerful extension functions provide strong support for users in various fields, thus gaining widespread attention from scholars, experts, and engineers. This book briefly introduces the basic theory of neural networks, which is a field of active research and has broad application prospects in recent years. It also provides a detailed introduction to the use of the Neural Network Toolbox provided by MATLAB 6.x. Finally, it uses a large number of design examples to illustrate the methods of neural network design and application based on MATLAB 6.0x. This book can serve as a reference for college and university teachers and students engaged in neural network research and application, as well as for a broad range of researchers and engineers. It may also be useful for researchers in other fields as a source of inspiration. Additionally, this book can be used as a reference for those studying neural network theory courses.