DocumentCode
528594
Title
An Influence Diagrams Structure Learning Method Based on Genetic Algorithm
Author
Bai, Lei ; Qian, Wen-Hua
Author_Institution
Dept. of Comput. Sci. & Inf. Technol., Yunnan Normal Univ., Kunming, China
Volume
1
fYear
2010
fDate
26-28 Aug. 2010
Firstpage
337
Lastpage
340
Abstract
Influence diagrams have been widely applied to decision analysis and uncertain inference in many domains. Learning IDs aided by computer is an active research area. An ID structure learning algorithm is presented in this paper by comparing genetic algorithm. Experimental results show that this algorithm is more automatic and works exactly as well as the result of experts.
Keywords
genetic algorithms; inference mechanisms; learning (artificial intelligence); decision analysis; genetic algorithm; influence diagram; learning algorithm; uncertain inference; Algorithm design and analysis; Approximation algorithms; Artificial neural networks; Computers; Expert systems; Fitting; Inference algorithms; Genetic Algorithm; Influence diagram; Influence diagram structure learning;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2010 2nd International Conference on
Conference_Location
Nanjing, Jiangsu
Print_ISBN
978-1-4244-7869-9
Type
conf
DOI
10.1109/IHMSC.2010.90
Filename
5590946
Link To Document