Neural Network Expert System

Author: Feng Ding
Publisher:
Publish Date: 2006-09-01
Features: This book incorporates and draws on research findings on neural network expert systems from both domestic and international sources. It also combines the author's research and teaching experience in neural network expert systems, systematically summarizing the theories and methods related to neural network expert systems, thereby serving as a reference for peers working in this field. The main contents include the similarities and differences between conventional expert systems and neural network expert systems, seven commonly used neural network models for building expert systems, and data processing methods that facilitate neural network learning and training. The book combines systematicity with novelty, theoretical depth with practicality, and is highly readable. Neural network expert systems theory and technology is a brand-new discipline that has garnered widespread attention and importance. With the refinement and development of neural network technology, it has provided a new space for the research and development of expert systems. Therefore, this book systematically elaborates on the fundamental theories, algorithms, data processing, and construction techniques for developing expert systems using neural networks. The main contents include the similarities and differences between conventional expert systems and neural network expert systems, seven commonly used neural network models for building expert systems, data processing methods that facilitate neural network learning and training, fuzzy data processing in neural network expert systems, knowledge representation methods based on neural networks, as well as machine learning and neural network-based reasoning. The book provides corresponding neural network source programs at the end. This book can serve as a textbook for undergraduate and graduate students in fields such as mechanical engineering, computer science, electronic engineering, control engineering, information and communication science, and can also be used as a reference book for researchers in related fields. The book fully utilizes the latest research findings in control theory, starting from various advanced control theories, to develop effective controllers for various problems in robot control, thereby achieving ideal robot control quality. For each robot control problem, the book analyzes and explains it through simulation examples and MATLAB simulation programs, enabling readers to understand, master, and apply the latest technologies in this field, as well as quickly grasp the design methods for robot controllers using MATLAB. The entire book emphasizes the connection between theory and practice, making it highly practical. This book is suitable for researchers, engineering technicians, and professional teachers in universities and colleges working in fields such as automation, computer applications, mechatronics, and electrical automation, as well as senior