The research of expert system of laser quenching based on genetic-neural network - 文章详情页

作者：

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

收录：

EI Scopus

摘要：

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.

关键词：

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

作者机构：

[ 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

通讯作者信息：

电子邮件地址：

fqw@emails.bjut.edu.cn

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