PolyU IR
 

PolyU Institutional Repository >
Electronic and Information Engineering >
EIE Conference Papers & Presentations >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1408

Title: Graffiti commands interpretation for eBooks using a self-structured neural network and genetic algorithm
Authors: Leung, Koon-fai
Lam, H. K.
Leung, Frank H. F.
Tam, Peter K. S.
Subjects: Computer simulation
Digital arithmetic
Genetic algorithms
Multimedia systems
Optimization
Issue Date: 2002
Publisher: IEEE
Citation: 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.
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.
Type: Conference Paper
URI: http://hdl.handle.net/10397/1408
ISBN: 0-7803-7278-6
Appears in Collections:EIE Conference Papers & Presentations

Files in This Item:

File Description SizeFormat
Graffiti commands interpretation_02.pdf592.9 kBAdobe PDFView/Open



Facebook Facebook del.icio.us del.icio.us LinkedIn LinkedIn


All items in the PolyU Institutional Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
No item in the PolyU IR may be reproduced for commercial or resale purposes.

 

© Pao Yue-kong Library, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
Powered by DSpace (Version 1.5.2)  © MIT and HP
Feedback | Privacy Policy Statement | Copyright & Restrictions - Feedback