徐芬, 孙立贤, 刘焕文, 梁建国, 谭洁, 梁逸曾, 俞汝勤. 人工神经元网络用于复方氯丙嗪的含量测定J. 药学学报, 1994, 29(10): 767-772.
引用本文: 徐芬, 孙立贤, 刘焕文, 梁建国, 谭洁, 梁逸曾, 俞汝勤. 人工神经元网络用于复方氯丙嗪的含量测定J. 药学学报, 1994, 29(10): 767-772.
F Xu, LX Sun, FW Liu, JG Liang, J Tan, YZ Liang , RQ Yu, . ARTIFICIAL NEURAL NETWORK AS APPLIED TO THE ANALYSIS OF CHLORPROMAZINE TABLETSJ. Acta Pharmaceutica Sinica, 1994, 29(10): 767-772.
Citation: F Xu, LX Sun, FW Liu, JG Liang, J Tan, YZ Liang , RQ Yu, . ARTIFICIAL NEURAL NETWORK AS APPLIED TO THE ANALYSIS OF CHLORPROMAZINE TABLETSJ. Acta Pharmaceutica Sinica, 1994, 29(10): 767-772.

人工神经元网络用于复方氯丙嗪的含量测定

ARTIFICIAL NEURAL NETWORK AS APPLIED TO THE ANALYSIS OF CHLORPROMAZINE TABLETS

  • 摘要: 将误差反向传播(BP)的人工神经元网络(ANN)模型,用于复方氯丙嗪紫外重叠光谱分 析。对ANN模型的参数进行了优化。采用f(x)二1/(1+e-x)作为网络节点的输入输出转换函数的三 层神经网络具有较佳性能,当取隐含节点数为15时,该网络预测结果的最小平均相对误差为1.22%, 将研制的ANN模型用于复方氯丙嗪含量测定,其结果与药品标准法和偏最小二乘法(PLs)一致。

     

    Abstract: Three-layer artificial neural network(ANN)models with back propagation of error have been used to the analysis of chlorpromazine tablets.The networks architecture and parameters were optimized.The network gave an average relative error of 1.22% by using f(X)=1/(1+e-x)as the input-output transformation function and setting the number of hidden nodes to 15.The network was used to determine the content of chlorpromazine in pharmaceutical preparations.The results were in fair agreement with those obtained by drug standard method and the PLS methods.

     

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