基于前向神经网络的知识获取

journal6 ›› 2002, Vol. 23 ›› Issue (2): 62-65.

基于前向神经网络的知识获取

(1.浙江大学物理系，浙江杭州310028；2.浙江省地质矿产研究所，浙江杭州310007)

出版日期:2002-06-15 发布日期:2013-01-05
作者简介:何国光(1965-)，男，浙江省杭州市人，浙江大学物理系讲师，主要从事人工神经网络与计算机应用研究.

Study of the Knowledge Acquirement Based on Feed-Forward Neural Network

(1.Department of Physics, Zhejiang University, Hangzhou 310028，China；2.Geological and Mineral Institute of Zhejiang Province, Hangzhou 310007,China)

Online:2002-06-15 Published:2013-01-05

摘要/Abstract

摘要：以前向神经网络为工具，以“Tic-Tac-Toe”为研究对象，探索了人工神经网络在认知科学中的应用.计算机仿真实验表明，用神经网络的方法来获取知识是可行的.

关键词： 知识获取, 前向神经网络, BP算法, Tic-Tac-Toe

Abstract: In this paper,based on feed-forward neural network，“Tic-Tac-Toe”is taken as research object to explore the application of the artificial neural network in cognizance science. Computer simulation shows that it is feasible to acquire knowledge with the neural network.

Key words: knowledge acquirement, feed-forward neural network, BP algorithm, Tic-Tac-Toe

何国光, 周坚强. 基于前向神经网络的知识获取[J]. journal6, 2002, 23(2): 62-65.

HE Guo-Guang, ZHOU Jian-Qiang. Study of the Knowledge Acquirement Based on Feed-Forward Neural Network[J]. journal6, 2002, 23(2): 62-65.

[1]	温芝元, 曹乐平. 神经网络在项目财务评价上的应用[J]. journal6, 2005, 26(3): 86-90.
[2]	张清良. 一种改进的BP算法[J]. journal6, 2003, 24(4): 79-81.
[3]	胡师彦. 混合遗传BP算法在图象识别中的应用[J]. journal6, 2001, 22(4): 57-59.