灰色关联在建立树木材积GM(1,2)灰色模型中的应用

Application of Grey Correlation in Building GM(1,2)

为了以尽量少的胸径和树高数据来预测材积,利用灰色理论建立日本落叶松GM(1,2)模型。在建模的过程中,应用灰色关联分析来确定最优的关联因子,使得建模过程简单、实用,而且模型的精度完全满足建模要求。

In order to reduce the volume forecast by DBH and height data of a tree, grey theory was used to establish a model named GM （1,2） for Larix kaempferi analysis. The most suitable relevance factors were selected by grey correlation analysis to set up the model. Because of the application of grey correlation analysis, the model-building process was easy and practical and the precision of the model met the demand completely. The model-building mode which first selected relevance factors and then set up the GM （1,2） model was proved to be reasonable and successful.