Multi-strategy combined learning mechanism suitable for designing expert system

Author

Li, Ling-Ling ; Li, Zhi-Gang ; Zhou, Chun-Lai ; Gao, Zhao-hui

Author_Institution

Sch. of Autom., Hebei Univ. of Technol., Tianjin, China

Volume

4

fYear

2003

fDate

2-5 Nov. 2003

Firstpage

2291

Abstract

The complicacy of designing products induces the complicacy of designing expert system. The machine learning of this kind of system is difficult to be realized. In this paper, a kind of multi-strategy combined learning mechanism is presented, which combines the learning by analogy based on pattern matching and the self-adaptive learning based on evolution strategy as well as deductive learning based on fuzzy logic together, and overcomes the shortage of single machine learning and can be used for reference by other designing expert systems.

Keywords

expert systems; fuzzy logic; learning (artificial intelligence); pattern matching; deductive learning; evolution strategy; expert system designing; fuzzy logic; learning mechanism; machine learning; multistrategy; pattern matching; self-adaptive learning; Artificial intelligence; Design automation; Diagnostic expert systems; Electromagnetic analysis; Expert systems; Fuzzy logic; Learning systems; Machine learning; Pattern matching; Product design;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2003 International Conference on

Print_ISBN

0-7803-8131-9

Type

conf

DOI

10.1109/ICMLC.2003.1259889

Filename

1259889