Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1364
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.
Lee, Yim-shu
Subjects: Game theory
Genetic algorithms
Knowledge based systems
Learning algorithms
Neural networks
Transfer functions
Issue Date: 2002
Publisher: IEEE
Source: 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.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/1364
ISBN: 0-7803-7474-6
Appears in Collections:EIE Conference Papers & Presentations

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