1.The models were then used to make prediction and analysis of the PSD evolution of fine PM in typical coal combustion environment.
以此为基础，对典型煤燃烧环境中细颗粒的数密度分布变化规律进行了预报与分析。
2.The data mining system builds corresponding decision tree, creates corresponding rules which can be used to make prediction.
根据数据挖掘模型建立了相应的决策树，产生了对应的规则集，并能根据规则集进行预测。
3.Using Resampling Technique to Make Prediction of Time Series
基于样本数据重抽样的时序数据预报方法
4.Learn how to make prediction
学习有关预测和猜测的表达方式