Principles and Applications of Artificial Neural Networks

Author: Chen Yunping, Wang Xuru, Han Baoliang
Publisher:
Publish Date: 2002-08-01
Features: This book discusses the basic units of artificial neural networks, network structures, several common algorithms of artificial neural networks, and their applications in power systems. The book is divided into nine chapters. The first five chapters introduce the basic principles of artificial neural networks, covering their biological background, models, and algorithms. The last four chapters introduce the applications of artificial neural networks in important fields such as power system load forecasting, stability analysis, and system identification, aiming to inspire further exploration and promote the broader application of this intelligent technology in the power industry. This book can serve as a reference for power engineering technicians and also as a textbook or teaching reference for senior undergraduate students and postgraduate students in the major of "Electrical Engineering and Automation."