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
fDate :
6/24/1905 12:00:00 AM
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;
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
DOI :
10.1109/FUZZ.2002.1005031
