| 三种不确定性水质综合评价方法比较研究 |
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| 引用本文： | 姜云超,南忠仁. 三种不确定性水质综合评价方法比较研究[J]. 干旱区资源与环境, 2011, 0(3): 177-180 |
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| 作者姓名： | 姜云超 南忠仁 |
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| 作者单位： | 兰州大学资源环境学院;教育部西部环境重点实验室; |
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| 基金项目： | 国家环境保护公益性项目(NEPCP200809098); 973项目(NKBRP(973):2008CB417212)资助 |
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| 摘 要： | 将BP与SOM人工神经网络模型与模糊综合评价法进行实例比较研究,以探讨这三种不确定性水质综合评价方法的科学合理性及其适用范围.主要结论为:1)BP与SOM网络模型通过对样本的学习来获得水质指标与水质类别之间的映射关系,评价结果更客观.2)模糊综合评价法通过构建隶属函数对水质进行分类,评价结果偏重,易引起过保护.3)当水...
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| 关 键 词： | 水质综合评价 BP人工神经网络模型 SOM人工神经网络模型 模糊综合评价法 |
Comparison of three comprehensively uncertain water quality assessment methods |
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| JIANG Yunchao,NAN Zhongren. Comparison of three comprehensively uncertain water quality assessment methods[J]. Journal of Arid Land Resources and Environment, 2011, 0(3): 177-180 |
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| Authors: | JIANG Yunchao NAN Zhongren |
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| Affiliation: | JIANG Yunchao,NAN Zhongren(1.School of Resources and Environmental Sciences,Lanzhou University,Lanzhou 730000,P.R.China,2.National Laboratory of Western China's Environmental System,lanzhou 730000,P.R.China) |
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| Abstract: | A comparative study was carried out for three comprehensively uncertain water quality assessment methods including BP and SOM artificia1 neura1 network models and fuzzy comprehensive evaluation method to explore the reasonability and applicability of the three methods.The study conclusions are:1) By BP and SOM the model mapping between the water quality indicators and evaluation criteria is obtained through learning the samples,and more objective evaluation results are given.2) By fuzzy comprehensive evalua... |
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| Keywords: | comprehensive water quality assessment BP artificia1 neura1 network SOM artificia1 neura1 network fuzzy comprehensive evaluation method |
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