Playing Tic-Tac-Toe Using Genetic Neural Network with Double Transfer Functions

• 作者: Hak Keung Lam Sai Ho Ling
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 工学
• 关键词: GAME GENETIC Algorithm NEURAL NETWORK
• 年，卷（期）: 2011,（1）
• 页码范围: 37-44
• 页数: 8页
• 分类号: TP1

摘要

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.