DocumentCode
1641347
Title
On interpretation of graffiti digits and commands for eBooks: neural fuzzy network and genetic algorithm approach
Author
Lam, H.K. ; Leung, K.F. ; Ling, S.H. ; Leung, F.H.F. ; Tam, P.K.S.
Author_Institution
Centre for Multimedia Signal Process., Hong Kong Polytech.Univ., Kowloon, China
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
443
Lastpage
448
Abstract
This paper presents a proposed neural fuzzy network tuned by genetic algorithm (GA). By introducing a switch to each rule, the optimal number of rules can be learned. The membership functions of the neural fuzzy network are also tuned by GA. After training, the proposed neural fuzzy network is employed to interpret graffiti number inputs and commands for electronic books (eBooks)
Keywords
fuzzy neural nets; genetic algorithms; handwritten character recognition; interactive devices; GA; e-book commands; eBook commands; genetic algorithm; graffiti digit interpretation; handwritten digit interpretation; membership functions; neural fuzzy network; Electronic publishing; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Genetic engineering; Keyboards; Path planning; Personal digital assistants; Signal processing algorithms; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1005031
Filename
1005031
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