Using genetic algorithms with a priori knowledge for quantitative NMR signal analysis

被引：7

作者：

Choy, WY ^{[1
]}

Sanctuary, BC ^{[1
]}

机构：

[1] McGill Univ, Dept Chem, Montreal, PQ H3A 2K6, Canada

来源：

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 1998年 / 38卷 / 04期

关键词：

D O I：

10.1021/ci980017p

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

Genetic algorithms (GA) have been successfully applied to solve many optimization problems in science and engineering. In this work, we demonstrate by using a priori knowledge, that GA, are useful in NMR parameter estimation, especially when the signal-to-noise ratio is low. Moreover, different combinations of reproduction, recombination, and mutation schemes can greatly affect the optimization accuracy and efficiency.

引用

页码：685 / 690

页数：6

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