Fuzzy Neural Network Theory and Application
By: Liu, Puyin
.
Contributor(s): Li, Hongxing.
Material type: 
BookSeries: Publisher: Singapore: World Scientific Pub Co Inc, 2004Description: 396 p.ISBN: 9812387862 (hardcover); 9789812387868 (hardcover).Subject(s): Network Theory, Computer ScienceDDC classification: 006.3 Liu 1st 2004 29292 Computer.Science Summary: 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.
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UVAS Library Computer Science | Social Science | 006.3 Liu 1st 2004 29292 Computer.Science (Browse shelf) | Available | 29292 |
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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.
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