In this paper, autoregressive moving average model (ARMA) is used to forecast the power load.
本文采用自回归滑动平均模型(ARMA)对电力负荷进行了预测。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
We obtain some results as follows:In chapter 2, a new mixture autoregressive moving average model is proposed for modeling nonlinear time series.
提出了一类新的用于非线性时间序列建模的混合自回归滑动平均模型。
This algorithm is characterized by its high significance and less computation, being not restricted to the condition that the autoregressive order should be equal to the moving average order.
其特点是显著性高、计算量小，并且不受噪声模型自回归阶次等于滑动平均阶次条件的限制。
Methods Using the Autoregressive Integrated Moving Average Model to fit the change of numbers of discharged patients.
方法采用自回归移动平均模型对出院人次进行模型拟合。
Methods Using the Autoregressive Integrated Moving Average Model to fit the change of numbers of discharged patients.
方法采用自回归移动平均模型对出院人次进行模型拟合。
应用推荐