首页   按字顺浏览 期刊浏览 卷期浏览 Application of Artificial Neural Network Multivariate Calibration to Near-Infrared Spec...
Application of Artificial Neural Network Multivariate Calibration to Near-Infrared Spectrophotometry Determination of Powdered Pharmaceutical Metronidazole

 

作者: Yulin Ren,   Yuhui Gou,   Ruixue Ren,   Peiyi Liu,   Yie Guo,  

 

期刊: Spectroscopy Letters  （Taylor Available online 1999）
卷期: Volume 32, issue 3  

页码: 431-442

 

ISSN:0038-7010

 

年代: 1999

 

DOI:10.1080/00387019909349996

 

出版商: Taylor & Francis Group

 

关键词: artificial neural network(ANN);Near infrared spectrophotometry;diffuse reflectance;the degree of approximation;overfilling;nondestructive;metronidazole powder

 

数据来源: Taylor

 

摘要:

The application of artificial neural networks for pharmaceutical quantitative analysis is described. Real data sets from near-infrared reflectance spectra of Metronidazole powdered pharmaceuticals were used to build an artificial neural network to predict unknown samples. A new network evaluation criterion, termed the degree of approximation, was employed. The overfitting was discussed. Owing to the beneficial nonlinear multivariate calibration nature of ANN. the predicted results were reliable and precise.

 

点击下载:  PDF (345KB)



返 回