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Journal of Pharmaceutical Research. 2022, (05)

Study on titer prediction of Erythromycin Enteric Coated Tablets based on GA-BP artificial neural networkChinese Full Text

WU Jianzhuo;PENG Jie;WANG Tingting;LI Xue;Guangdong Institute for Drug Control,NMPA Key Laboratory for Rapid Testing Technology of Drugs;

Abstract: Objective To establish a GA-BP artificial neural network model to predict the titer of Erythromycin Enteric Coated Tablets according to the component content data.Methods The contents and potency of erythromycin component A,erythromycin component B,erythromycin component C,impurity A～F and total impurities in 552 batches of Erythromycin Enteric Coated Tablets were determined, and the GA-BP artificial neural network model was constructed to predict the potency of Erythromycin Enteric Coated Table... More
Keywords：

GA-BP artificial neural network; Erythromycin Enteric Coated Tablets; Component content; Potency prediction;

  • DOI：

    10.13506/j.cnki.jpr.2022.05.007

  • Series：

    (E) Medicine ＆ Public Health

  • Subject：

    Pharmaceutics

  • Classification Code：

    R927.1

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