装载机销售量的二次拟合优化Verhulst模型研究

“贫乏“信息系统随处可见.如何根据已知信息挖掘有用信息是相当重要的,基于模型的信息挖掘方法是其中一类重要方法.本文利用灰色系统理论,研究了装载机销售量的二次拟合优化VerhulstGM(1,1)直接模型,该模型不需要累加生成和累减生成,适合于等间距数据建模,也适合于非等间距建模.计算实例表明,该预测模型有更好的适应性和更高的精度,使用方便,值得推广使用.

Verhulst Direct Optimum GM (1,1) Model With two times Fitting and its Application to Loader Sales Predicting

"Poor" information systems are found everywhere.The mining technology of data of known information is very important.Model-based method is an important approach.Based on the grey system theory,the Verhulst direct GM(1,1) model for loader sales predicting was built.The new model need no accumulated generating operation(AGO) and inverse accumulated generating operation(IAGO).It was not only suited for equal interval data modeling,but also for non-equal interval data modeling.Its calculation was simple,and convenient with higher accuracy.The new model was worth expanding and applying in loader sales predicting.