Artificial Neural Network Technology and Applications

Author: Chen Xiangguang
Publisher:
Publish Date: 2003-09-01
Features: This book is one of the continuing education series for mechatronics engineers. With an engineering application background, it systematically elaborates on the basic principles, learning algorithms, and analytical methods of common artificial neural networks. The book is divided into six chapters.
Chapter 1 briefly describes the development of artificial neurons and the application status in some fields; Chapter 2 introduces the perceptron network structure, algorithm, and its applications; Chapter 3 discusses the BP network structure, algorithm improvements, and application examples; Chapter 4 introduces the RBF network structure, algorithm, and its applications; Chapter 5 introduces the learning rules, stability, and applications of the Hopfield feedback network; Chapter 6 introduces the structure, basic learning algorithms, and applications of self-organizing artificial neural networks. The book is combined with practical applications and is highly applicable. It selects some engineering examples, which are very helpful for readers to master the theory and application technology of artificial neural networks. This book can be used as a reference for engineering technicians, researchers, and senior students of universities and colleges.