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《Journal of Hohai University(Natural Sciences)》 2007-03
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Modified BP neural network-based groundwater environmental vulnerability evaluation

LI Mei1,2,MENG Fan-ling3,LI Qun1,2,HUANG Qiang1(1.School of Hydraulic and Electrical Engineering,Xi'an University of Technology,Xi'an 710048,China;2.The Yellow River Water Conservancy Committee,Zhengzhou 450003,China;3.School of Resource and Environment of North China University of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China)  
The weight grade method and fuzzy mathematic method are commonly used for groundwater environmental vulnerability evaluation due to its fuzziness.However,the weight grade method is affected by some artificial factors in determining the weights of different evaluation factors,and the method cannot reflect the influences of the continuous changes of evaluation factors on the vulnerability of groundwater environment.Meanwhile,the fuzzy mathematic method is of some disadvantages in determining the weights of evaluation factors and establishment of the function of subordination degree.Thus,a modified BP neural network model was established for groundwater environmental vulnerability evaluation.The application of the model to Ningling County in Huang-Huai Plain shows that the modified BP neural network is of fast speed and high accuracy in nonlinear mode identification and can provide correct evaluation of groundwater environmental vulnerability.
【Fund】: 国家“973”重点基础研究发展规划项目(G1999043608);; 陕西省重点实验室项目(02JS37)
【CateGory Index】: X824
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