Shielding material gamma ray accumulation factor regression calculation method based on limit tree

The invention provides a shielding material gamma-ray accumulation factor regression calculation method based on a limit tree, and the method comprises the steps: carrying out the learning of a large number of gamma-ray accumulation factor data samples of various common engineering materials, building a limit tree regression model with excellent performance under the condition of simple parameter adjustment or even no parameter adjustment, and carrying out the regression calculation of a shielding material gamma-ray accumulation factor. According to the method, unbiased prediction is carried out on known data of the gamma-ray accumulation factor, and high-precision prediction is carried out on unknown data, so that the calculation efficiency of the gamma-ray accumulation factor of various common radiation shielding materials is higher on the premise of ensuring the accuracy. 本发明提供一种基于极限树的屏蔽材料γ射线累积因子回归计算方法，该方法通过对大量各种常用工程材料γ射线累积因子数据样本进行学习，在经过简单的调参甚至不需要进行任何调参的情况下，建立起性能优越的极限树回归模型，对γ射线累积因子的已知数据进行无偏预测，对未知数据进行高精度预测，