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 :
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