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灰色模型
    The result showed that,when the sequence contents smoothly curve incompletely,not only GIM(1) grey model is better than GM(1,1) one in Whitening system variable and comparable with GSM(1) one,but also its information rate is higher.
    初步应用表明,在序列不完全满足光滑化条件时,GIM(1)灰色模型对系统变量的“白化”能力较GM(1,1)强,而与GSM(1)灰色模型相当,信息利用率高,是分析、预测环保投资动态发展趋势一条切实可行的途径。
    The practical application of dynamic grey model GM(1,1) to predict rubbish output was discussed. It demonstrated that this model was better than ordinary grey model GM(1,1) for a long range prediction. \;
    本文探讨了等维灰数递补 GM(1,1)模型在垃圾产生量长期预测中的具体应用 ,比较了该模型与普通二次拟合灰色模型在预测精度及预测值的灰区间方面的差别 ,说明了等维灰数递补 GM(1,1)模型在作长期预测时具有一定的优越性
    The prediction results of the system cloud grey model (SCGM) accord well with the actual condition of Xi′an city. This indicates that there has been increasing trend of the urban heat island effect in Xi′an city and shows that SCGM model has great advantages for multifactor correlative system prediction.
    系统云灰色模型(SCGM)的拟合和预测结果与实际情况取得了较好的一致性,表明西安城市热岛效应具有日益加重的趋势,也体现了SCGM在多因子关联系统预测中的优越性.
    This paper analyses some of the question exited for the process of modeling which evaluates and predicts the water quality of Yangtze River. Using exponent characteristic of Grey Model GM(1,1),we find the improved Grey model GM(1,1) on forecast of Yangtze river's water quality.
    分析了在长江水质的评价和预测建模过程中出现的一些问题,利用灰色模型的指数特性,建立预测长江水质的GM(1,1)的改进模型。
    Through comparing and analyzing,it found that the grey model is the idealest modle,then,the sulphur dioxide emission quantity from 2006 to 2010 in Anhui province is forecasted by this model.
    经过比较和分析,发现灰色模型的预测效果最佳,并利用该模型对安徽省2006-2010年的二氧化硫排放总量进行了预测。
 

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