运用所拟合的数量化回归模型预测马尾松幼林的树高和胸径可达到较高的精度。
The fitted quantitative regression models could be used to forecast height and DBH of the young stands, and the forecast precision was high.
目的探讨树型回归模型更为准确的剪枝技术。
Objective To investigate on the more accurate pruning strategies of regression tree.
结论虽然树模型是非参数分析方法，但回归树仍有其适用条件，在使用时需要对这些条件加以检查，必要时应采取相应的处理措施。
Conclusion Regression tree also has its application condition, these condition should be checked before analysis, correspond step should be applied when necessary.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
该模型通过对使用多个样本集分别训练出的多棵决策树预测函数进行逻辑回归来得到最终的预测函数。
In this model, a logistic regression function is induced from multiple decision trees, which are built based on different training sample sets respectively.
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