先将非平稳时间序列进行经验模式分解，再对各个分量分别建模，最后将各分量预测结果进行组合。
Empirical mode decomposition is used for pre-processing. Decompose time series, then make models separately and combine all the values.
模拟的200个随机数据集分别建模所得广义调整R 2无大于等于实际数据集所得广义调整r 2值。
The generalized adjusted R2 of 200 simulated data sets models all are less than that of the actual data models.
除非我们使用一种象CORBA(请参阅参考资料)这样的通讯技术，否则我们一旦进入设计阶段，就必须分别为这两个系统建模。
Unless we were using a communication technology such as CORBA (see Resources), we'd have to model the two systems separately once we entered the design stage.
应用推荐