| 遗传算法用于变量筛选 |
| |
| 引用本文： | 章元,朱尔一,庄峙厦,王小如.遗传算法用于变量筛选[J].高等学校化学学报,1999,20(9):1371-1375. |
| |
| 作者姓名： | 章元 朱尔一 庄峙厦 王小如 |
| |
| 作者单位： | 厦门大学化学系, 教育部材料和生命过程分析科学开放研究实验室, 厦门 361005 |
| |
| 基金项目： | 教育部留学回国人员科研启动基金，福建省自然科学基金 |
| |
| 摘 要： | 利用遗传算法的优越搜索寻优特性,结合有序Gram-Schmidt正文化及PLS算法可得到预报能力较强的模型,即PRESS(预报残差平方和)值较低的模型.该法可用于处理构效关系及人发微量元素与性别关系问题,并与正交递归选择法及逐步回归正向选择法进行比较,结果良好.
|
| 关 键 词： | 遗传算法 有序Gram-Schmidt正文化 PLS回归 正交递归选择法 变量筛选 |
| 收稿时间： | 1998-11-12 |
Variable Selection by Genetic Algorithms |
| |
| ZHANG Yuan,ZHU Er-Yi,ZHUANG Zhi-xia,WANG Xiao-Ru.Variable Selection by Genetic Algorithms[J].Chemical Research In Chinese Universities,1999,20(9):1371-1375. |
| |
| Authors: | ZHANG Yuan ZHU Er-Yi ZHUANG Zhi-xia WANG Xiao-Ru |
| |
| Institution: | Department of Chemistry, the Key Laboratory of Analytical Science for Material and Life Chemistry of MOE, Xiamen University, Xiamen 361005, China |
| |
| Abstract: | The model with a higher predictive ability can be obtained or the lower PRESS statistic values of the model can be achieved by use of coinbining the genetic algorithms with Gram-Schmidt orthogonalization, PLS method. The comparison is made among forward selection method in the stepwise regression and orthogonalization recurrence selection method as well as genetic algorithms in dealing with the examples of QSAR (quantitative structure activity relationship) and the problem of relationship between the trace elements in human hair and sex. |
| |
| Keywords: | Genetic algorithms Ordered Gram-Schmidt orthogonalization PLS regression Orthogonalization recurrence selection Variable selection |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《高等学校化学学报》浏览原始摘要信息 |
| 点击此处可从《高等学校化学学报》下载免费的PDF全文 |
