用遗传基因算法实现切削实验数据拟合  

Genetic Algorithms as Applied to Regression Analysis of Cutting Experiments Data

作　　者：周建新[1] 刘玉桐[1] 于启勋[1] 

机构地区：[1]北京理工大学机械工程系

出　　处：《西南石油学院学报》1998年第3期62-63,共2页Journal of Southwest Petroleum Institute

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。In this paper, Genetic Algorithms (GA) as used in regression analysis is introduced. The GA is programmed with Database (FoxPro 2.6 for Windows),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.

关 键 词：遗传基因算法 切削加工 数据拟合 刀具 

分 类 号：TG710.6[金属学及工艺—刀具与模具]