Title :
A machine learning algorithm for expert system based on subjective Bayesian method
Author :
WenBin, Chen ; XiaoLing, Liu ; Yijun, Liu ; Yu, Fang
Author_Institution :
Sch. of Comput. Sci., Southwest Pet. Univ., Chengdu, China
Abstract :
Based on subjective Bayesian method, knowledge representation model and inference method were analyzed, and the formula for certainty in reasoning process was given, and what lead to the inaccurate sufficient factor and necessary factor were discussed, and a correction algorithm to adjust the sufficient factor and the necessary factor to the true one based on case studies was given in this paper. Experiments proved that even the sufficient factor and necessary factor were inaccurate at the beginning, by using the correction algorithm, the sufficient factor and necessary factor could converge at actual values after adequate number of case studies.
Keywords :
Bayes methods; expert systems; inference mechanisms; knowledge representation; learning (artificial intelligence); correction algorithm; expert system; inference method; knowledge representation model; machine learning; necessary factor; reasoning process; subjective Bayesian method; sufficient factor; Algorithm design and analysis; Bayesian methods; Computer science; Expert systems; Inference algorithms; Knowledge representation; Machine learning algorithms; Petroleum; Probability; Uncertainty; expert system; machine learning; necessary factor; subjective Bayesian method; sufficient factor;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485423
