Neural Networks and Fuzzy Control

Author: Yan Pingfan
Publisher:
Publish Date: 1998-10-01
Features: Neural networks and fuzzy control are two important intelligent control technologies. They can both simulate human intelligent behavior, solve uncertain, nonlinear, and complex automation problems, and have very broad application prospects. This book comprehensively discusses neural networks and fuzzy control from the perspective of intelligent control, analyzes and compares their commonalities, characteristics, scope of application, and ways of integration, enabling readers to gain a more comprehensive understanding of the latest research findings in the field of intelligent control. The book is concise in selection, clear in exposition, and introduces and analyzes numerous application examples, including character recognition, stock prediction, traveling salesman optimal path planning, lime kiln furnace identification, pH value control, chemical reactor fault diagnosis, manipulators, inverted pendulum, and parking, making it easier for readers to understand the application objects, methods, and effects of various technologies. This book can serve as a textbook or self-study material for graduate and undergraduate students in relevant engineering majors, radio and television university students, correspondence college students, and engineering technicians.
Neural networks and fuzzy control are two important intelligent control technologies. They can both simulate human intelligent behavior, solve uncertain, nonlinear, and complex automation problems, and have very broad application prospects. This book comprehensively discusses neural networks and fuzzy control from the perspective of intelligent control, analyzes and compares their commonalities, characteristics, scope of application, and ways of integration, in order to enable readers to gain a more comprehensive understanding of the latest research findings in the field of intelligent control. The book is concise in selection, clear in exposition, and introduces and analyzes numerous application examples, including character recognition, stock prediction, traveling salesman optimal path planning, lime kiln furnace identification, pH value control, chemical reactor fault diagnosis, manipulators, inverted pendulum, and parking, making it easier for readers to understand the application objects, methods, and effects of various technologies. This book can serve as a textbook or self-study material for graduate and undergraduate students in relevant engineering majors, radio and television university students, correspondence college students, and engineering technicians.