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。
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。
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。
Combining the advantages of regression analysis methods and time series forecast model with equal step length, a compound forecasting model was set up , and was tested with engineering data.
结果显示，把最小二乘支持向量机回归预测与等步长时序预测相结合的预测方法应用于地下工程围岩位移监测数据的分析及预测是可行的；
This paper use grey forecasting model and unbiased grey forecasting model to test a series of slope data, and the results indicate that both methods are valid and the later is more accurate.
本文采用传统灰色预测模型和无偏灰色预测模型对边坡变形进行预测，预测结果表明，两种模型都是有效的， 无偏灰色预测模型的精度更高。
An improved method for short term electric load forecasting is presented. It is based on time series methods and fuzzy logic techniques.
提出一种时间序列算法和模糊逻辑技术相结合的电力系统短期负荷预测方法。
The time series method is one of common methods for forecasting water consumption. The prediction accuracy on water consumption can be guaranteed by the selection of forecast models.
时间序列法是用水量预测的常用方法，其中预测模型的选择是提高预测精度的关键。
Methods Using the time series analysis of cucumber downy mildew disease, to explore the forecasting method from the Angle of methodology.
方法：采用黄瓜霜霉病病情指数时间序列从方法学的角度进行预测方法研究。
This paper use grey forecasting model and unbiased grey forecasting model to test a series of slope data, and the results indicate that both methods are valid and the later is more accurate.
采用传统灰色预测模型和无偏灰色预测模型对边坡变形进行预测，预测结果表明，两种模型都是有效的，无偏灰色预测模型的精度更高。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
应用推荐