Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1427
Title: On interpretation of graffiti digits and commands for eBooks : neural fuzzy network and genetic algorithm approach
Authors: Lam, HK
Leung, KF
Ling, SH
Leung, FHF 
Tam, PKS
Keywords: Associative storage
Fuzzy sets
Genetic algorithms
Knowledge based systems
Learning systems
Membership functions
Multimedia systems
Issue Date: 2002
Publisher: IEEE
Source: FUZZ-IEEE'02 : proceedings of the 2002 IEEE International Conference on Fuzzy Systems : May 12-17, 2002, Honolulu, Hawaii, p. 443-448 How to cite?
Abstract: This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for Electronic Books (eBooks).
URI: http://hdl.handle.net/10397/1427
ISBN: 0-7803-7280-8
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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