Neural Network Tutorial

Author: Han Liqun (Compiler)
Publisher:
Publish Date: 2006-12-01
Features: This book systematically discusses the main theories, design foundations, and application examples of artificial neural networks, aiming to help readers understand the development background and research objects of neural networks, grasp their basic principles and main applications, and master their structured and design application methods, laying a foundation for in-depth research and application development. To facilitate reader comprehension, the book avoids complex mathematical derivations, emphasizes practical examples, and pays attention to the accessibility of new concepts and the logicality of readers' thinking in the selection and arrangement of content. As an extension of knowledge, the book also introduces the basic concepts, architectures, control characteristics, and information patterns of artificial neural systems. Since 1996, the author has been teaching the course "Theory and Application of Artificial Neural Networks" to graduate students in control and information-related fields. Based on multiple revisions of lecture notes and numerous research achievements, this book has been developed. It is suitable for graduate students in control and information-related fields, undergraduate students in intelligent science and technology, and various science and technology professionals.