On interpretation of Graffiti digits and characters for eBooks: Neural-fuzzy network and genetic algorithm approach

K. F. Leung; Hung Fat Frank Leung; H. K. Lam; S. H. Ling

doi:10.1109/TIE.2004.825285

On interpretation of Graffiti digits and characters for eBooks: Neural-fuzzy network and genetic algorithm approach

K. F. Leung, Hung Fat Frank Leung, H. K. Lam, S. H. Ling

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

16 Citations (Scopus)

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).

Original language	English
Pages (from-to)	464-471
Number of pages	8
Journal	IEEE Transactions on Industrial Electronics
Volume	51
Issue number	2
DOIs	https://doi.org/10.1109/TIE.2004.825285
Publication status	Published - 1 Apr 2004

Keywords

Electronic books (eBooks)
Genetic algorithm (GA)
Neural-fuzzy networks (NFNs)

ASJC Scopus subject areas

Electrical and Electronic Engineering
Instrumentation

More information

10.1109/TIE.2004.825285

http://hdl.handle.net/10397/1399

Cite this

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On interpretation of Graffiti digits and characters for eBooks: Neural-fuzzy network and genetic algorithm approach

Abstract

Keywords

ASJC Scopus subject areas

More information

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