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
收藏
页码：685 / 690
页数：6
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