... classic time series model 传统时间序列模型 Time Series Forecast Model 时间序列预测模型 ARIMA time series model ARIMA时序模型 ...
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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;
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
文章通过对一套市场价格预测模型体系的介绍,综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势,探索从多角度综合预测市场价格的问题。
Aim at the trait of time series, investigate the different ARIMA patterns, put forward the ARIMA model and forecast and estimate aim at special market.
针对其时间序列的特点,研究了ARIMA的不同模式,提出了面向特定市场的ARIMA模型,及其预测和估计方法。
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