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BP神经网络在氯代羟基苯甲醛QSRR研究中的应用
引用本文:张军方,陈梦瑜,罗妮娜,陈桐.BP神经网络在氯代羟基苯甲醛QSRR研究中的应用[J].贵州工业大学学报(自然科学版),2004,33(3):31-34.
作者姓名:张军方  陈梦瑜  罗妮娜  陈桐
作者单位:1. 贵州工业大学,理化分析中心,贵州,贵阳,550003
2. 浙江大学,环境科学系,浙江,杭州,310028
摘    要:用BP神经网络法对氯代羟基苯甲醛的定量结构-色谱保留值关系(QSRR)进行了研究,采用多元回归分析对此类化合物的QSRR进行了比较研究,并用因子分析法的斜交因子得分图直观地揭示了上述两法在运用中的优劣差异。

关 键 词:BP神经网络  定量结构-色谱保留值关系  氯代羟基苯甲醛  因子分析法
文章编号:1009-0193(2004)03-0031-04
修稿时间:2004年3月15日

Application of BP Artificial Neural Network in Quantitative Structure-Retention Relationship Analysis of Chlorinated Hydroxybenazldehydes
ZHANG Jun-fang,CHEN Meng-yu,LUO Ni-na,CHEN Tong.Application of BP Artificial Neural Network in Quantitative Structure-Retention Relationship Analysis of Chlorinated Hydroxybenazldehydes[J].Journal of Guizhou University of Technology(Natural Science Edition),2004,33(3):31-34.
Authors:ZHANG Jun-fang  CHEN Meng-yu  LUO Ni-na  CHEN Tong
Institution:ZHANG Jun-fang~1,CHEN Meng-yu~1,LUO Ni-na~2,CHEN Tong~1
Abstract:In this paper,the relationship between quantitative structure and gas chromatographic retention value of chlorinated hydroxybenzaldehydes were discussed by using BP artificial neural network.And then the parallel research using Multi -Factor regression was done to it.In the end,the diagram of oblique factor score value abtained from factor analysis with quantitative structure and gas chromatographic retention value showed the differentiae between the two methods discussed above.
Keywords:BP artificial neural network  QSRR  chlorinated hydroxybenzaldehydes  factor analysis
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