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|Title: ||Playing tic-tac-toe using a modified neural network and an improved genetic algorithm|
|Authors: ||Lam, H. K.|
Ling, S. H.
Leung, Frank H. F.
Tam, Peter K. S.
|Subjects: ||Game theory|
Knowledge based systems
|Issue Date: ||2002 |
|Citation: ||IECON-2002 : proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society, Sevilla, Spain, November 5-8, 2002, p. 1984-1989.|
|Abstract: ||This paper presents an algorithm of playing game tic-tac-toc. This algorithm is learned by a modified neural network (NN), which is trained by an improved genetic algorithm (GA). In the proposed NN, the neuron has two activation functions and exhibits a node-to-node relationship in the hidden layer that enhances the learning ability of the network. It will be shown that the proposed NN and GA provide a better performance than the traditional approach.|
|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.|
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|Type: ||Conference Paper|
|Appears in Collections:||EIE Conference Papers & Presentations|
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