In the USA, the average woman is 163 cm tall and weighs 64 kilos, but the average model is 180 cm tall and weighs 53 kilos.
在美国，女性的平均身高是163厘米，体重是64公斤，而模特的平均身高是180厘米，体重是53公斤。
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。
In comparison with the weighted average model, this method is more satisfactory and furthermore proves the advantages of the model.
将该模型应用于对水质评价的实例，得到了比线性加权评价法更令人信服的结果，证明了该模型较加权平均法的优越性。
The exponent weighted gliding average model is improved to fit in with the forecasting of the parameters with various changing law.
对指数加权平滑模型进行了改进，使之能适用于多种不同变化规律的参数的预报。
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。
The experiments show that the classification accuracy of the model based on fuzzy number-valued fuzzy integral is higher than the accuracy of the weighted average model.
实验表明，基于模糊数值模糊积分方法的分类精度要高于基于加权平均方法的分类精度。
The switching function model may be divided into two models of high frequency and low frequency. Then the average model for condition space of the rectifier is developed.
通过对开关函数求傅里叶级数，将开关函数模型分解为高频和低频两个模型，从而求得整流器的状态空间平均模型。
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。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
The trend part of the data can be fitted with BP (back propagation) neural network and the random part is processed by a normal ARMA (auto regressive moving average) model.
采用BP网络对不平稳时间序列进行数据拟合，处理趋势部分，利用ARMA模型处理随机部分。
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