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Institute of Electrical and Electronics Engineers, IEEE Transactions on Industrial Electronics, 2(51), p. 464-471, 2004

DOI: 10.1109/tie.2004.825285

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On interpretation of graffiti digits and characters for eBooks : neural-fuzzy network and genetic algorithm approach

Journal article published in 2004 by Koon-Fai Leung, Frank H. F. Leung, H. K. Lam, S. H. Ling ORCID
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This paper is available in a repository.

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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). ; Author name used in this publication: K. F. Leung ; Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering