On interpretation of graffiti digits and commands for eBooks: neural fuzzy network and genetic algorithm approach
Hak‐Keung Lam, K.F. Leung, Sai Ho Ling, Frank H. F. Leung, P.K.S. Tam · 2003
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).