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《Environmental Science & Technology》 2010-11
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Application of Neural Network Model to Environmental Assessment

GUO Yan,WANG Hai-fang (School of Chemical Engineering and Environment,Zhongbei University,Taiyuan 030051,China)  
Taking environmental impact assessment of Lvliang,Shanxi Province as a case,3 artificial neural networks including BP network,RBF network and self-organizing competitive network as the model were selected to conduct the atmospheric environmental impact assessment,and through the comparison and analysis,results showed that the simulation results of BP network was closer to the status quo of environmental quality than the other two methods.Different parameters were selected to analyze results and through the continuous adjustment of network parameters to improve the accuracy of evaluation results,the method of parameters selection of various neural networks were reviewed,which would apply to the environmental assessment process.
【CateGory Index】: X820;TP183
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