Title :
Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm
Author :
Leung, K.F. ; Lam, H.K. ; Leung, F.H.F. ; Tam, P.K.S.
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network is employed to perform the graffiti interpretation. By introducing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by a genetic algorithm (GA) with arithmetic crossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed neural network are shown
Keywords :
character recognition equipment; computer graphic equipment; electronic publishing; genetic algorithms; graphical user interfaces; handwritten character recognition; neural net architecture; notebook computers; self-organising feature maps; symbol manipulation; touch sensitive screens; tuning; arithmetic crossover; electronic books; genetic algorithm; graffiti command interpretation; neural network link switch; neural network structure tuning; nonuniform mutation; self-structured neural network; simulation; Arithmetic; Computational modeling; Electronic publishing; Genetic algorithms; Genetic engineering; Genetic mutations; Neural networks; Personal digital assistants; Signal processing algorithms; Switches;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007533
