电法测井中基于遗传算法的非线性数据拟合研究

被引：4

作者：

陈星

黄卡玛

赵翔

机构：

[1] 四川大学电子信息学院

[2] 四川大学电子信息学院成都

[3] 成都

来源：

四川大学学报(自然科学版) | 2002年 / 06期

关键词：

electrical log; genetic algorithm; nonlinear data fitting;

D O I：

暂无

中图分类号：

P631.3 [电法勘探];

学科分类号：

0818 ; 081801 ; 081802 ;

摘要：

Authors have developed a technique base on genetic algorithm (GA), which is mainly based on ideas and techniques from genetic and evolutionary theory. To improve the efficiency of the data fitting, some techniques to enhance the efficiency of GA and to reduce the possible solutions have been proposed. A numerical example in the case is also given, whose result shows GA can efficiently solve nonlinear data fitting problems and these techniques are able to greatly improve the efficiency of nonlinear data fitting.

引用

页码：1145 / 1148

页数：4

共 6 条

[1] 遗传算法中常用算子的分析 [J].