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dc.contributor.authorCharoenkwan, Phasiten_US
dc.contributor.authorFang, Shih-Weien_US
dc.contributor.authorWong, Sai-Keungen_US
dc.date.accessioned2018-08-21T05:56:41Z-
dc.date.available2018-08-21T05:56:41Z-
dc.date.issued2010-01-01en_US
dc.identifier.issn2376-6816en_US
dc.identifier.urihttp://dx.doi.org/10.1109/TAAI.2010.35en_US
dc.identifier.urihttp://hdl.handle.net/11536/146515-
dc.description.abstractWe study on artificial neural network-based controllers which are either trained or evolved by using the supervised or unsupervised learning approach. We employed backpropagation for the supervised method and the genetic algorithm for the unsupervised method. After training the controllers, we applied the controllers to our three newly designed mini-3D games. We performed a comprehensive study on the performance and weaknesses of the controllers. We emerged the controllers as fundamental tools for giving us more understanding about artificial neural network and its effectiveness in imitating players' behaviours.en_US
dc.language.isoen_USen_US
dc.subjectartificial intelligenceen_US
dc.subjectevolutionary roboticsen_US
dc.subjectgamesen_US
dc.titleA Study on Genetic Algorithm and Neural Network for Implementing Mini-Gamesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1109/TAAI.2010.35en_US
dc.identifier.journalINTERNATIONAL CONFERENCE ON TECHNOLOGIES AND APPLICATIONS OF ARTIFICIAL INTELLIGENCE (TAAI 2010)en_US
dc.citation.spage158en_US
dc.citation.epage165en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000399726300024en_US
Appears in Collections:Conferences Paper