The research of expert system of laser quenching based on genetic-neural network - Details

Author：

Fan, Qingwu (Fan, Qingwu.) | Wang, Pu (Wang, Pu.) | Zhang, Lianbao (Zhang, Lianbao.) | Li, Jun (Li, Jun.)

Indexed by：

EI Scopus

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.　©　2006　IEEE.

Keyword：

Optimization Inference engines Neural networks Quenching Laser theory Expert systems Knowledge acquisition Genetic algorithms

Author Community：

[ 1 ] [Fan, Qingwu]College of Electrical Control, Beijing University of Technology, Beijing, China
[ 2 ] [Wang, Pu]College of Electrical Control, Beijing University of Technology, Beijing, China
[ 3 ] [Zhang, Lianbao]College of Materials Science and Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Li, Jun]College of Materials Science and Engineering, Beijing University of Technology, Beijing, China