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Fuzzy Neural Network Theory and Application
Contributor(s): Liu, Puyin (Author), Li, Hong-Xing (Author)
ISBN: 9812387862     ISBN-13: 9789812387868
Publisher: World Scientific Publishing Company
OUR PRICE:   $166.25  
Product Type: Hardcover - Other Formats
Published: June 2004
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: This book provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system identification and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms, and using universal approximation analysis with simulation examples carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science and electrical engineering.
Additional Information
BISAC Categories:
- Computers | Neural Networks
- Mathematics | Applied
Dewey: 006.32
Series: Machine Perception and Artificial Intelligence
Physical Information: 0.99" H x 6.42" W x 9.3" (1.82 lbs) 396 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering.