TITLE:
Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions
AUTHORS:
Sai Ho Ling, Hak Keung Lam
KEYWORDS:
Game, Genetic Algorithm, Neural Network
JOURNAL NAME:
Journal of Intelligent Learning Systems and Applications,
Vol.3 No.1,
February
24,
2011
ABSTRACT: Computational intelligence is a powerful tool for game development. In this paper, an algorithm of playing the game Tic-Tac-Toe with computational intelligence is developed. This algorithm is learned by a Neural Network with Double Transfer functions (NNDTF), which is trained by genetic algorithm (GA). In the NNDTF, the neuron has two transfer functions and exhibits a node-to-node relationship in the hidden layer that enhances the learning ability of the net-work. A Tic-Tac-Toe game is used to show that the NNDTF provide a better performance than the traditional neural network does.