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扩展的SCGM（1,1）_α0

An Improvement of SCGM（1,1）_α0

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【Author】 LIUGuo-hua WANG Yi-nao ZHANG Qing-nian CHEN Yan(Department of Mathematics,Hebei University,Baoding 071002,China;Hebei Institute of Architectural Science & Technology,Handan 056038, China ; Wenzhou University, Wenzhou 325027, China ; North of China Institute of Hydraulic Engineering& Electricity, Handan 056001, China ("Capital University Economy &. Trade,Beijing 100026,China)

【机构】河北大学数学系；温州大学；华北水利水电学院；首都经济贸易大学河北保定 071002 河北建筑科技学院；河北邯郸 056038；浙江温州 325027；河北邯郸 056001；北京 100026；

【摘要】对于有明显指数规律但却不能用SCGM（1,1）_a0建模的一类数据,本文提出了建立SCGM（1,1）_a0的改进方法,扩大了SCGM（1,1）_a0适用范围,提高了建模精度,并用该方法预测了邯郸市未来工业用水万元产值取水量。更多还原

【Abstract】 In this paper,we put forward a improved of SCGM(1,1)a0, for a group of data having obvious exponential law but not being used in SCGM(1,1)a0 The improved method extends the applicable scope of SCGM(1, 1)ao and raises the precision of the model. In the end, we forecast the quantity of industrial water consumption by means of the improved method industrial mater consumption.更多还原