On Interpretation of Graffiti Digits and Characters for eBooks: Neural-Fuzzy Network and Genetic Algorithm Approach

K.F. Leung, F.H.F. Leung, H.K. Lam, S. Ling

    Research output: Contribution to journalArticlepeer-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 languageEnglish
    Pages (from-to)464-470
    JournalIEEE Transactions on Industrial Electronics
    Volume51
    Issue number2
    DOIs
    Publication statusPublished - 2004

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