Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1399
Title: On interpretation of graffiti digits and characters for eBooks : neural-fuzzy network and genetic algorithm approach
Authors: Leung, KF
Leung, FHF 
Lam, HK
Ling, SH
Keywords: Electronic books (eBooks)
Genetic algorithm (GA)
Neural-fuzzy networks (NFNs)
Issue Date: Apr-2004
Publisher: IEEE
Source: IEEE transactions on industrial electronics, Apr. 2004, v. 51, no. 2, p. 464-471 How to cite?
Journal: IEEE transactions on industrial electronics 
Abstract: This paper presents the rule optimization, tuning of the membership functions, and optimization of the number of fuzzy rules, of a neural-fuzzy network (NFN) using a genetic algorithm (GA). The objectives are achieved by training a proposed NFN with rule switches. The proposed NFN and GA are employed to interpret graffiti number inputs and commands for electronic books (eBooks).
URI: http://hdl.handle.net/10397/1399
ISSN: 0278-0046
DOI: 10.1109/TIE.2004.825285
Rights: © 2004 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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