Playing Tic-Tac-Toe Using a Modified Neural Network and an Improved Genetic Algorithm

This paper presents an algorithm of playing game tic-tac-toe. 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 transfer 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 that by the traditional approach

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Year of publication:	2018
Authors:	Lam, H.K.
Other Persons:	Ling, S.H. (contributor) ; Leung, F.H.F. (contributor) ; Tam, P.K.S. (contributor)
Publisher:	[2018]: [S.l.] : SSRN
Subject:	Evolutionärer Algorithmus \| Evolutionary algorithm \| Neuronale Netze \| Neural networks \| Theorie \| Theory