Title :
On interpretation of graffiti digits and characters for eBooks: neural-fuzzy network and genetic algorithm approach
Author :
Leung, K.F. ; Leung, Frank H F ; Lam, H.K. ; Ling, S.H.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China
fDate :
4/1/2004 12:00:00 AM
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).
Keywords :
electronic publishing; fuzzy neural nets; genetic algorithms; character interpretation; eBooks; electronic book; fuzzy rule optimization; genetic algorithm; graffiti digit interpretation; membership function tuning; neural-fuzzy network; Character recognition; Electronic publishing; Genetic algorithms; Handwriting recognition; Hidden Markov models; Keyboards; Personal digital assistants; Senior members; Signal processing; Switches;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2004.825285
