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用遗传基因算法实现切削实验数据拟合
引用本文:周建新 刘玉桐 于启勋. 用遗传基因算法实现切削实验数据拟合[J]. 西南石油大学学报(自然科学版), 1998, 20(3): 62-63. DOI: 10.3863/j.issn.1000-2634.1998.03.017
作者姓名:周建新 刘玉桐 于启勋
作者单位:(北京理工大学机械工程系,北京100081)
摘    要:采用遗传基因算法实现切削数据的拟合,用数据库技术实现算法—将基因(gene)视为字段、染色体(chromo-some)视为记录、种群(population)视为库,以数据库的基本操作替代遗传过程;解决了传统回归分析方法的不足,使回归过程简单、结果稳定、可靠,并为回归分析提供了一条新途径。

关 键 词:切削试验  回归分析  遗传基因算法  
收稿时间:1998-02-17

Genetic Algorithms as Applied to RegressionAnalysis of Cutting Experiments Data
Zhou Jianxin Liu Yutong Yu Qixun. Genetic Algorithms as Applied to RegressionAnalysis of Cutting Experiments Data[J]. Journal of Southwest Petroleum University(Seience & Technology Edition), 1998, 20(3): 62-63. DOI: 10.3863/j.issn.1000-2634.1998.03.017
Authors:Zhou Jianxin Liu Yutong Yu Qixun
Affiliation:( Dept. of Mechanical Engineering,Beijing University of Science and Technology, Beijing, 100081)
Abstract:In this paper, Genetic Algorithms (GA) as used in regression analysis is introduced. The GA is pro-grammed with Database (FoxPro 2. 6 for Win-dows),in which the gene is transferred into field,chromosome into record, population into table, and genetic operator into database’s operator. With the proposed Genetic Algorithms, regression analysis is made much simpler, and the regression results are found to be very accurate, stable and reliable.
Keywords:Regression analysis  Genetic Algorithms  Cutting experiments  
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