高守国, 李睿, 相秉仁. FAM神经网络用于药物反相高效液相色谱的流动相强度推荐J. 药学学报, 2001, 36(9): 676-678.
引用本文: 高守国, 李睿, 相秉仁. FAM神经网络用于药物反相高效液相色谱的流动相强度推荐J. 药学学报, 2001, 36(9): 676-678.
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GAO Shou-guo, LI Rui, XIANG Bing-ren. APPLICATION OF FAM NETWORKS IN RECOMMENDATION OF MOBILE PHASE FOR RP-HPLCJ. Acta Pharmaceutica Sinica, 2001, 36(9): 676-678.
Citation: GAO Shou-guo, LI Rui, XIANG Bing-ren. APPLICATION OF FAM NETWORKS IN RECOMMENDATION OF MOBILE PHASE FOR RP-HPLCJ. Acta Pharmaceutica Sinica, 2001, 36(9): 676-678.
shu

FAM神经网络用于药物反相高效液相色谱的流动相强度推荐

APPLICATION OF FAM NETWORKS IN RECOMMENDATION OF MOBILE PHASE FOR RP-HPLC

    摘要
  • 摘要: 目的　构造基于FAM(fuzzyassociatememorizer)神经网络的药物液相色谱流动相推荐系统。方法　将径向基函数神经网络引入色谱专家系统,获取反映药物分子结构参数、容量因子与反相色谱流动相溶剂强度之间关系的模糊规则,进而使用这些模糊规则构造FAM网络可用于药物反相色谱流动相强度推荐。结果　经对一些单组分药物和复方药物模拟样品对专家系统推荐的反相色谱流动相初始条件进行了实验验证,结果令人满意。结论　该流动相强度推荐系统是可行的。

     

    Abstract: AIM To establish expert system to recommend solvent strength in RP-HPLC by using FAM (fuzzy associate memorizer) networks. METHODS Symbolic rules reflecting the quantitative relationship among molecular structure, capacity factors and solvent strength in RP-HPLC were extracted from trained radial basis function networks. Then FAM networks consisting of these rules were built to recommend mobile phase strength for RP-HPLC. RESULTS The validation results of the system by monocomponent and mutilcomponent drug samples were satisfied. CONCLUSION The mobile phase recommendation system for RP-HPLC analysis of drugs showed reliable performance.

     

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