| 基于BP网络方法的长江水质综合评价 |
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| 引用本文： | 陈希,刘花璐.基于BP网络方法的长江水质综合评价[J].黄石理工学院学报,2009,25(4):11-15. |
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| 作者姓名： | 陈希 刘花璐 |
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| 作者单位： | 1. 黄石理工学院,经济与管理学院,湖北,黄石,435003
2. 黄石理工学院,数理学院,湖北,黄石,435003 |
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| 摘 要： | 水质综合评价因子权重的确定方法使得评价结果带有较强的主观性，神经网络方法则可以有效地排除主观因素的干扰。文章构造了一个多因子水质综合评价的3层BP网络模型，以溶解氧（DO）、高锰酸盐指数（CODMn）、氨氮（NH3N）为评价因子，对长江17个监测点的水质进行了综合评价。其中1个站点为Ⅰ类水质，7个站点为Ⅱ类水质，6个站点为Ⅲ类水质，2个站点为Ⅳ类水质，1个站点为Ⅴ类水质。
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| 关 键 词： | 水质综合评价 人工神经网络 BP算法 |
Comprehensive Evaluation of Water Quality of Yangtze River Based on BP Network |
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| CHEN Xi,LIU Hualu.Comprehensive Evaluation of Water Quality of Yangtze River Based on BP Network[J].Journal of Huangshi Institute of Technology,2009,25(4):11-15. |
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| Authors: | CHEN Xi LIU Hualu |
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| Institution: | CHEN Xi1 LIU Hualu2(1 School of Economics and Management,Huangshi Institute of Technology,Huangshi Hubei 435003,2 School of Mathematics and Physics,Huangshi Hubei 435003) |
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| Abstract: | The method determining the weighting factor of comprehensive evaluation of water quality makes the evaluation result very subjective,however,the neural network method can effectively rule out the disturbance of subjective factors.This paper constructs a three-layer BP net model which is a multi-factor comprehensive evaluation of water quality whose evaluation factors are potassium permanganate index,dissolved oxygen and ammonia-nitrogen.The comprehensive evaluation has been done in Yangtze River's 17 monito... |
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| Keywords: | comprehensive evaluation of water quality artificial neural network BP algorithm |
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