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|Title:||Digit and command interpretation for electronic book using neural network and genetic algorithm|
|Authors:||Lam, H. K.|
Leung, Frank H. F.
|Subjects:||Digit and command interpretation|
|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.|
|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.|
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|Appears in Collections:||EIE Journal/Magazine Articles|
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