Quantitative Near-infrared Spectroscopic Analysis of Trimethoprim by Artificial Neural Networks Combined with Modified Genetic Algorithm

A novel method for rapid,accurate and nondestructive determination of trimethoprim in complex matrix was presented.Near-infrared spectroscopy coupled with multivariate calibration（partial least-squares and artificial neural networks） was applied in the experiment.The variable selection process based...

Full description

Saved in:
Bibliographic Details
Published in:Chemical research in Chinese universities 2014-08, Vol.30 (4), p.582-586
Main Authors: Shan, Hongyan, Fei, Yanqun, Huan, Yanfu, Feng, Guodong, Fei, Qiang
Format: Article
Language:English
Subjects:
Analytical Chemistry
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Inorganic Chemistry
Organic Chemistry
Physical Chemistry
人工神经网络模型
偏最小二乘法
复杂基体
改进遗传算法
无损检测
甲氧苄啶
网络结
近红外光谱分析
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:A novel method for rapid,accurate and nondestructive determination of trimethoprim in complex matrix was presented.Near-infrared spectroscopy coupled with multivariate calibration（partial least-squares and artificial neural networks） was applied in the experiment.The variable selection process based on a modified genetic algorithm with fixed number of selected variables was proceeded,which can reduce the training time and enhance the predictive ability when coupled with artificial neural network model.
ISSN:1005-9040
2210-3171
DOI:10.1007/s40242-014-3410-x