The research and application of the self-learning expert system based on BP network

Author

Liu, Li-Jie ; Wang, Ya-dong ; Guo, Mao-zu

Author_Institution

Sch. of Comput. Sci. & Technol., Harbin Inst. of Technol., China

Volume

7

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4153

Abstract

The similarities between the BP network and the rule representation in the uncertain reasoning based on certainty factor are introduced in this paper. According to the disadvantage of the traditional rule representation, a method is presented to train and correct the CF value of the rule and the weight of the proof, which makes the system possess the ability of self-learning. After the method was applied in the cow disease diagnosis expert system, and its performance has been improved.

Keywords

backpropagation; biology computing; diagnostic expert systems; diseases; inference mechanisms; knowledge representation; medical diagnostic computing; neural nets; uncertainty handling; unsupervised learning; backpropagation neural network; certainty factor; cow disease diagnosis expert system; rule representation; self-learning expert system; uncertain reasoning; Application software; Artificial intelligence; Artificial neural networks; Diagnostic expert systems; Diseases; Expert systems; Machine learning algorithms; Neurons; Production systems; Uncertainty; BP neural network; certainty factor; cow disease diagnosis expert system; rule representation;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527665

Filename

1527665