The Research of Expert System of Laser Quenching Based on Genetic-Neural Network

Author

Fan, Qingwu ; Wang, Pu ; Zhang, Lianbao ; Li, Jun

Author_Institution

Coll. of Electr. Contro, Beijing Univ. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

7969

Lastpage

7972

Abstract

Traditional method about designing blue print in course of surface laser quenching was studied. Expert system of laser quenching based on genetic-neural network was presented. Knowledge acquisition, construction of knowledge base and design of inference engine were introduced in detail. The trial running results show that this research raised an advanced and reasonable path for performance prediction and optimization design of laser quenching

Keywords

expert systems; inference mechanisms; knowledge acquisition; laser materials processing; neural nets; radiation quenching; surface treatment; blue print design; expert system; genetic-neural network; inference engine; knowledge acquisition; surface laser quenching; Artificial intelligence; Artificial neural networks; Biological neural networks; Design optimization; Expert systems; Knowledge acquisition; Laser theory; Materials science and technology; Optical design; Surface emitting lasers; Expert System; Genetic Algorithms; Laser Quenching; Neural Network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713523

Filename

1713523