[基于人工神经网络和近红外光谱法对扑热息痛粉末药品的无损定量分析]

[Nondestructive quantitative analysis of Paracetamoli powder pharmaceutical by artificial neural network and near-infrared spectroscopy].

作者信息

Ren R, Tang Z, Liu F, Gou Y, Ren Y

机构信息

208th Hospital, 130061 Changchun.

出版信息

Guang Pu Xue Yu Guang Pu Fen Xi. 2001 Aug;21(4):521-3.

Abstract

The application of artificial neural network for pharmaceutical nondestructive quantitative analysis were investigated. Real data set from near infrared reflectance spectra of Paracetamoli powder pharmaceutical were used to build up artificial network to predict unknown samples. The parameters affecting network were discussed. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted results was reliable.

摘要

研究了人工神经网络在药物无损定量分析中的应用。采用对乙酰氨基酚粉末药物近红外反射光谱的实际数据集建立人工网络，以预测未知样品。讨论了影响网络的参数。采用了一种新的网络评估标准——逼近度。由于人工神经网络具有良好的非线性多元校准特性，预测结果可靠。

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