Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/1364
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electronic and Information Engineering | - |
dc.creator | Lam, HK | - |
dc.creator | Ling, SH | - |
dc.creator | Leung, FHF | - |
dc.creator | Tam, PKS | - |
dc.creator | Lee, YS | - |
dc.date.accessioned | 2014-12-11T08:26:21Z | - |
dc.date.available | 2014-12-11T08:26:21Z | - |
dc.identifier.isbn | 0-7803-7474-6 | - |
dc.identifier.uri | http://hdl.handle.net/10397/1364 | - |
dc.language.iso | en | en_US |
dc.publisher | IEEE | en_US |
dc.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. | en_US |
dc.rights | 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. | en_US |
dc.subject | Game theory | en_US |
dc.subject | Genetic algorithms | en_US |
dc.subject | Knowledge based systems | en_US |
dc.subject | Learning algorithms | en_US |
dc.subject | Neural networks | en_US |
dc.subject | Transfer functions | en_US |
dc.title | Playing tic-tac-toe using a modified neural network and an improved genetic algorithm | en_US |
dc.type | Conference Paper | en_US |
dc.description.otherinformation | Author name used in this publication: P. K. S. Tam | en_US |
dc.description.otherinformation | Author name used in this publication: Y. S. Lee | en_US |
dc.description.otherinformation | Centre for Multimedia Signal Processing, Department of Electronic and Information Engineering | en_US |
dc.description.otherinformation | Author name used in this publication: F. H. F. Leung | en_US |
dc.description.otherinformation | Refereed conference paper | en_US |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IECON-2002 : proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society, Sevilla, Spain, November 5-8, 2002, p. 1984-1989 | - |
dcterms.issued | 2002 | - |
dc.identifier.isi | WOS:000181518100347 | - |
dc.identifier.scopus | 2-s2.0-0036948888 | - |
dc.identifier.rosgroupid | r13237 | - |
dc.description.ros | 2002-2003 > Academic research: refereed > Refereed conference paper | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_IR/PIRA | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
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Playing tic-tac-toe_02.pdf | 325.78 kB | Adobe PDF | View/Open |
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