| 农村饮水水质的模糊神经网络评价 |
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| 引用本文： | 刘涛,倪福全,邓玉,李林芮,周先平,何雪勤.农村饮水水质的模糊神经网络评价[J].安徽农业科学,2011,39(23):14250-14252. |
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| 作者姓名： | 刘涛 倪福全 邓玉 李林芮 周先平 何雪勤 |
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| 作者单位： | 1. 四川农业大学信息与工程技术学院,四川雅安,625014
2. 四川农业大学四川农业环境工程重点实验室,四川雅安,625014 |
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| 基金项目： | 四川省教育厅科研项目(09ZA063);四川农业大学大学生科研兴趣项目 |
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| 摘 要： | 将模糊理论和神经网络模型耦合,得到一种新的具备学习水质评价模糊信息以及处理模糊信息能力的混合型模糊神经网络模型。基于对水质分级标准数据的计算机仿真及网络训练,对雅安市名山县42个农村地下水源水质进行评价。结果表明,名山县42个水源地中11个为第Ⅳ类水,2个为第Ⅴ类水,主要危害指标为硝酸盐、铁。
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| 关 键 词： | 模糊神经网络 数据仿真 水质评价 农村饮用水 名山县 |
A Fuzzy Neural Network-based Assessment for Rural Drinking Water Quality |
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| Institution: | LIU Tao et al(College of Information and Engineering,Sichuan Agricultural University,Ya’an,Sichuan 625014) |
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| Abstract: | Fuzzy theory was coupled with neural network model to produce a new hybrid fuzzy neural network(FNN) model that could acquaint and deal with fuzzy information.Based on the computer simulation and network training of grade scale data for water quality(WQL),trained network was applied for the WQL evaluation of 42 rural ground water resources in Mingshan County,Ya'an.Results indicated that among 42 water sources,WQL in eleven sources was of grade Ⅳ and that of another two sources was of gradeⅤ.And the main hazard indices were nitrate and iron. |
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| Keywords: | Fuzzy neural network Data simulation WQL evaluation Rural drinking water Mingshan County |
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