高等学校化学学报 ›› 2000, Vol. 21 ›› Issue (4): 544.

• 研究简报 • 上一篇    下一篇

人工神经网络-近红外光谱法用于甲氧苄胺嘧啶粉末药品的非破坏定量分析

刘培义1, 任玉林1, 苟玉慧1, 郭晔1, 王宗睦1, 汤真田丽容2, 杜玉荣2   

  1. 1. 吉林大学化学系, 长春 130023;
    2. 中国人民解放军第208医院药剂科, 长春 130061;
    3. 满洲里进出口商品检验局, 满洲里 021400
  • 收稿日期:1999-08-19 出版日期:2000-04-24 发布日期:2000-04-24
  • 通讯作者: 刘培义(1968年出生),男,博士研究生,主要从事有机合成及生化分析研究.

Nondestructive Quantitative Analysis of Trimethoprim Powder Pharmaceutical by Artificial Neural Network and Near-infrared Spectroscopy

LIU Pei-Yi1, REN Yu-Lin1, GOU Yu-Hui1, GUO Ye1, WANG Zong-Mu1, TANG Zhen2, TIAN Li-Rong2   

  1. 1. Department of Chemistry, Jilin University, Changchun 130023, China;
    2. Pharmacy, PLA 208th Hospital, Changchun 130061, China;
    3. The Importand Export Commodity Inspection Bureauof Manzhouli, Manzhouli 021400, China
  • Received:1999-08-19 Online:2000-04-24 Published:2000-04-24

关键词: 人工神经网络(ANN), 近红外光谱, 逼近度, 甲氧苄胺嘧啶

Abstract: The application of artificial neural network for pharmaceutical nondestructive quantitative analysis was investigated. The real data set from near infrared reflectance spectra of trimethoprim powder pharmaceutical were used to built up artificial network to predict unknown samples. The factors affecting network were discussed. Anew network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted result was reliable.

Key words: Artificial neural network(ANN), Near infrared spectrophotometry, Degree of approximation, Trimethoprim

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