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

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4 Author(s)
Leung, K.F. ; Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China ; Leung, F.H.F. ; Lam, H.K. ; Ling, S.H.

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).

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Industrial Electronics, IEEE Transactions on  (Volume:51 ,  Issue: 2 )