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Title: Digit and command interpretation for electronic book using neural network and genetic algorithm
Authors: Lam, HK
Leung, FHF 
Issue Date: Dec-2004
Source: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics, Dec. 2004, v. 34, no. 6, p. 2273-2283
Abstract: This paper presents the interpretation of digits and commands using a modified neural network and the genetic algorithm. The modified neural network exhibits a node-to-node relationship which enhances its learning and generalization abilities. A digit-and-command interpreter constructed by the modified neural networks is proposed to recognize handwritten digits and commands. A genetic algorithm is employed to train the parameters of the modified neural networks of the digit-and-command interpreter. The proposed digit-and-command interpreter is successfully realized in an electronic book. Simulation and experimental results will be presented to show the applicability and merits of the proposed approach.
Keywords: Digit and command interpretation
Electronic book
Genetic algorithm
Neural networks
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics 
ISSN: 1083-4419
DOI: 10.1109/TSMCB.2004.834432
Rights: © 2004 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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