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| 模糊概率神经网络模型在水质评价中的应用 | |
| 引用本文： | 刘坤,刘贤赵,李希国,孟翠玲.模糊概率神经网络模型在水质评价中的应用[J].水文,2007,27(1):36-39,25. |
| 作者姓名： | 刘坤 刘贤赵 李希国 孟翠玲 |
| 作者单位： | 1. 鲁东大学地理与资源管理学院,山东,烟台,264025 2. 烟台水文水资源勘测局,山东,烟台,264025 3. 北京师范大学环境学院,北京,100875 |
| 摘 要： | 鉴于水质类型和分级标准存在模糊性,将模糊数学中的相对隶属度理论和概率神经网络相结合,构建了模糊概率神经网络水质评价模型(FPNN)。阐明了该模型的构建方法,提出了基于指标相对隶属度矩阵插值构建训练样本的方法,并将该模型应用于实际水质评价。通过与综合评判法、属性识别法和BP网络法的比较,验证了该模型操作简便,评价结果客观可靠。 |
| 关 键 词： | 模糊数学 相对隶属度 概率神经网络 水质评价 |
| 文章编号： | 1000-0852（2007）01-0036-04 |
| 修稿时间： | 2006-06-19 |
Fuzzy Probabilistic Neural Network Water Quality Evaluation Model and Its Application |
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| LIU Kun,LIU Xian-zhao,LI Xi-guo,MENG Cui-ling.Fuzzy Probabilistic Neural Network Water Quality Evaluation Model and Its Application[J].Hydrology,2007,27(1):36-39,25. | |
| Authors: | LIU Kun LIU Xian-zhao LI Xi-guo MENG Cui-ling |
| Institution: | 1. School of Geography and Resource Management, Ludong University, Yantai 264025, China; 2. Yantai Bureau of Hydrology and Water Resources Survey, Yantai 264025, China; 3. Environmental School, Beijing Normal University, Beijing 100875, China |
| Abstract: | Considering the uncertainty of indexes for evaluating water quality and the standard of classification,Fuzzy Probabilistic Neural Network Model(FPNN)was proposed by combining the relative membership grade in fuzzy mathematics and Probabilistic Neural Network(PNN).The process of this model was clarified,and the method of establishing the studied data based on relative membership grade matrix was brought forward.Finally the model was applied to the actual water quality evaluation.The result indicates that the proposed method is easy to operate and the outcomes is objective and credible compared with those by integrated evaluating method,attribute recognition model and BP network. |
| Keywords: | fuzzy mathematics relative membership grade probabilistic neural network water quality evaluation |
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