Playing tic-tac-toe using a modified neural network and an improved genetic algorithm

H. K. Lam, S. H. Ling, Hung Fat Frank Leung, P. K.S. Tam, Y. S. Lee

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

This paper presents an algorithm of playing game tic-tac-loc. This algorithm is learned by a modified neural network (NN), which is trained by an improved genetic algorithm (CA). 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.
Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
Pages1984-1989
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2002
EventProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain
Duration: 5 Nov 20028 Nov 2002

Conference

ConferenceProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
Country/TerritorySpain
CitySevilla
Period5/11/028/11/02

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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