Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1408
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Title: Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm
Authors: Leung, KF
Lam, HK
Leung, FHF 
Tam, PKS
Issue Date: 2002
Source: IJCNN'02 : proceedings of the 2002 International Joint Conference on Neural Networks : May 12-17, 2002, Honolulu, Hawaii, p. 2487-2492
Abstract: This paper presents the interpretation of graffiti commands for electronic books (eBooks). A neural network will be employed to perform the graffiti interpretation. By producing a switch to each link of the neural network, the structure of the neural network can be obtained and tuned automatically by the genetic algorithm (GA) with arithmetic crossover and non-uniform mutation. Simulation results on interpreting graffiti commands for eBooks using the proposed neural network will be shown.
Keywords: Computer simulation
Digital arithmetic
Genetic algorithms
Multimedia systems
Optimization
Publisher: IEEE
ISBN: 0-7803-7278-6
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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