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《Industrial Instrumentation & Automation》 2012-04
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Study on prediction of atmosphere pollution concentration based on artificial neural network

GUO Qingchun1,3,4,HE Zhenfang2,4,LI Li3(1.Shaanxi Radio & TV University,Xi'an 710068,China;2.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;3.State Key Laboratory of Loess and Quaternary Geology,Institute of Earth Environment Research,Chinese Academy of Sciences,Xi'an 710075,China;4.Graduate School,Chinese Academy of Sciences,Beijing 100049,China)  
The BP neural network forecast method is introduced in air pollution prediction and the nonlinear time serial neural network prediction model for air pollution index in Bao'ji is established.The research results show the model has high accuracy and good adaptability,and it can be applied directly to forecast the air pollution index in Bao'ji.
【Fund】: 国家重点基础研究发展计划(973计划)项目(2004CB720208);; 国家自然科学基金项目(41075067);国家自然科学基金项目(40825008);; 2011年度陕西省高等继续教育教学改革研究重点项目(11J40);; 全国教育科学“十二五”规划单位资助课题(FJB110131);; 2011年度陕西广播电视大学课题(SB11-A06);; 陕西省教科所2010年度规划课题(SGH0902303)
【CateGory Index】: X831;TP183
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