| 黄河水质综合评价的人工神经网络模型 |
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| 引用本文： | 陈丽华,马德山.黄河水质综合评价的人工神经网络模型[J].西北民族学院学报,2002,23(3):28-32. |
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| 作者姓名： | 陈丽华 马德山 |
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| 作者单位： | [1]西北民族学院化学系，甘肃兰州730030 [2]西北民族学院教务处，甘肃兰州730030 |
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| 摘 要： | 为探讨水质综合评价的客观方法 ,以黄河兰州段新城桥段面水质资料为例 ,建立了地表水水质综合评价的BP网络模型 BP网络模型以单输出代替多输出可保证评价结果的惟一性 .将该模型用于实例分析表明 ,BP网络用于水质综合评价具有客观性和实用性 .
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| 关 键 词： | 水质综合评价 L-M算法 BP网络 |
| 文章编号： | 1009-2102(2002)03-0028-05 |
| 修稿时间： | 2001年12月22 |
The Models of Artificial Neural Networks for Comprehensive Assessment of Yellow River Water Quality |
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| CHEN Li-hua,MA De-shan.The Models of Artificial Neural Networks for Comprehensive Assessment of Yellow River Water Quality[J].Journal of Northwest Minorities University(Natural Science ),2002,23(3):28-32. |
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| Authors: | CHEN Li-hua MA De-shan |
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| Abstract: | Based on data of the water quality from Xincheng bridge in Lanzhou reaches of Yellow river,the authors setup a models of artificial neural networks BP networks presented for comprehensive assessment of water quality and the BP network model in which the multi unit of output employed by other researchers is substituted by single unit output .The result derived from the BP neural network is unique. The assessment result of water quality from an example showed that it possesses objectivity and practicability for assessing water environment quality by BP networks. |
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| Keywords: | comprehensive assessment of water quality L M algorithm BP networks |
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