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作 者:刘培义[1] 任玉林[1] 苟玉慧[1] 郭晔[1] 王宗睦[1] 汤真田丽容 杜玉荣
机构地区:[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
出 处:《高等学校化学学报》2000年第4期544-546,共3页Chemical Journal of Chinese Universities
摘 要: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. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted result was reliable. [WT5HZ]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. A new network evaluation criterion, the degree of approximation, was employed. Owing to good nonlinear multivariate calibration nature of ANN, the predicted result was reliable. [WT5HZ]
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