Because stock forecasting is a uncertain, nonlinear and nonstationary time series problem, it is difficult to achieve a satisfying prediction effect by traditional methods.

由于股票预测是不确定、非线性、非平稳的时间序列问题，传统的方法往往难以取得满意的预测效果。

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There are traditional model methods of forecasting short-term load, such as time series, regression analysis, and so on.

电力系统短期负荷预测使用的方法有传统建模方法，诸如时间序列、回归分析等方法。

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In economic field, the time series models are important methods in describing and forecasting the objective economic process.

在经济领域中，运用时间序列模型来进行客观经济过程的描述和预测是一个非常重要的方法。

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