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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/383

Title: FUZZY NEURAL NETWORK THEORY AND APPLICATION
Authors: Liu, Puyin
Keywords: Fuzzy Neural networks
Issue Date: 2004
Publisher: World Scientific
Abstract: As a hybrid intelligent system of soft computing technique, the fuzzy neural network (FNN) is an efficient tool to deal with nonlinearly complicated systems, in which there are linguistic information and data information, simultaneously. In view of two basic problems—learning algorithm and universal approximation, FNN's are thoroughly and systematically studied in the book.The achievements obtained here are applied successfully to pattern recogni- tion, system modeling and identification, system forecasting, and digital image restoration and so on. Many efficient methods and techniques to treat these practical problems are developed.
Description: Copyright belongs to World Scientific Publishing Co.
URI: http://hdl.handle.net/123456789/383
ISBN: 981-238-786-2
Appears in Collections:Fuzzy Neural Networks

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