DocumentCode :
3350565
Title :
Improve Go AI based on BP-Neural Network
Author :
Liao, Jianming ; Zou, Difei ; Luo, Rui
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
487
Lastpage :
490
Abstract :
Go is a very interest game with complex rules. Since computer came up, there were no very efficient arithmetic yet, because it is very difficult for traditional way to solve problems like this. But things changed since BP-Neural Network came into the world. Neural Network is proper to solve problem. This paper suggests a solution in Go AI program based on BP-neural network, and discussed arithmetic in details.
Keywords :
backpropagation; computer games; neural nets; BP-neural network; Go artificial intelligence program; Go computer game; backpropagation; Artificial intelligence; Artificial neural networks; Biological neural networks; Computer science; Digital arithmetic; Games; Humans; Neural networks; Neurons; Pattern matching; AI; BP-Neural Network; Go; game;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
Type :
conf
DOI :
10.1109/ICCIS.2008.4670818
Filename :
4670818
Link To Document :
بازگشت