径向基函数神经网络用于毛细管电泳同时检测水中苯二酚、苯酚和对硝基苯酚

doi:10.3969/j.issn.1000-1565.2013.03.006

摘要/Abstract

摘要： 将毛细管电泳与遗传算法优化输入变量下的径向基函数神经网络法相结合用于定量解析重叠的毛细管电泳图,以解决多组分检测过程中不能完全分析的问题.以毛细管电泳方法结合神经网络法同时定量检测难分离的苯二酚、苯酚和对硝基苯酚为例,研究结果表明:毛细管电泳-遗传算法优化输入变量下的径向基函数神经网络法无需完全分离即可实现对难分离多组分同时、准确的定量检测,适用于环境监测、毒理分析以及食品检验等.

关键词: 毛细管电泳, 径向基函数神经网络, 遗传算法, 苯酚衍生物

中图分类号:

O657.3

孙汉文,夏祥华. 径向基函数神经网络用于毛细管电泳同时检测水中苯二酚、苯酚和对硝基苯酚[J]. 河北大学学报(自然科学版), 2013, 33(3): 252-257.

SUN Hanwen,XIA Xianghua. RBF NN for simultaneous determination of dihydroxyhenzene isomers,phenol and p-nitrophenol in water samples by capillary electrophoresis[J]. Journal of Hebei University (Natural Science Edition), 2013, 33(3): 252-257.

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