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作 者:窦英[1] 邱芳萍[2] 刘培义[1] 任玉秋[3] 任玉林[1]
机构地区:[1]吉林大学化学学院,长春130023 [2]长春工业大学生物工程学院,长春130012 [3]白城医学院,白城137000
出 处:《高等学校化学学报》2004年第1期53-55,共3页Chemical Journal of Chinese Universities
基 金:吉林省科技厅基础研究项目 (批准号 :2 0 0 10 50 3 )资助
摘 要:The application of artificial neural network(ANN) and near-infrared spectroscopy for pharmaceutical nondestructive quantitative analysis of Paracetamol was investigated. The artificial neural network patterns of Paracetamol tablet medicines, powder medicines, first derivative spectra and second derivative spectra were established, and they were compared each other. The uncertain specimens were predicted. The parameters affecting ANN were discussed. A new network evaluation criterion, i.e., the degree of approximation, was employed, and the predicted results were reliable.The application of artificial neural network(ANN) and near-infrared spectroscopy for pharmaceutical nondestructive quantitative analysis of Paracetamol was investigated. The artificial neural network patterns of Paracetamol tablet medicines, powder medicines, first derivative spectra and second derivative spectra were established, and they were compared each other. The uncertain specimens were predicted. The parameters affecting ANN were discussed. A new network evaluation criterion, i.e., the degree of approximation, was employed, and the predicted results were reliable.
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