In this paper, the mathematic models for sea waves are expressed as the ARMA model.
本文研究了用arma模型描述海浪运动的数学模型。
The ARMA model was used to describe the prior distribution of observed discharge and the ar model was adopted to simulate the likelihood function of forecasting error.
该模型采用ARMA模型描述实测流量的先验分布，采用AR模型模拟预报残差的似然函数，并假定先验分布和似然函数均服从正态分布。
The results of numeric simulation and real seismic data processing showed that the ARMA model was characterized by parameter-economic and high efficiency in comparison with MA model;
数值模拟结果和实际地震数据处理结果表明：自回归滑动平均（ARMA）模型比滑动平均（MA）模型具有参数节省、模型更为高效的特点；
From the discrete solution of the equation of vibration of engineering structure, the equalility of the neural network based time domain identification and the ARMA model was verified.
基于自回归滑动平均模型（ARMA），利用时间序列建模，提出了利用组合模型对网络流量进行预测的方法。
By the relationship of Laplace transform and Z-transform, the ARMA time series model for this system is obtained.
应用拉氏变换和Z变换间关系，得到系统的ARMA时间序列模型。
The reconstruction of vehicle random vibration signal under different vehicle speed and road conditions is realized in laboratory, based on an auto regressive moving average (ARMA) time series model.
基于自回归滑动平均模型(ARMA)的方法，实现了不同车速和路面条件下的随机振动信号的实验室再现。
The disadvantage of establishing ARMA model with traditional time series analysis is analyzed; a new model building method based on judgment rules and long autoregression is put forward.
分析了传统时间序列分析法建立ARMA模型的不足，提出了一种利用模型阶数判断准则和长自回归法建模的新方法。
The recursive neural network based nonlinear approaching ARMA model is adopted for short-term power load prediction in this paper.
本文用递归神经网络逼近非线性ARMA模型预测电力短期负荷。
The steady-state optimal estimation of singular systems is studied by applying ARMA innovation model.
基于多项式ARMA新息模型方法提出了随机奇异线性离散时间系统的稳态最优估计。
However, when the order of ARMA model is very high, to compare every candidate model's criterion value is computationally infeasible.
但是，当模型的阶数很高时，无法计算并比较每一个备选模型的准则函数值。
An ARMA innovation model and the state optimal filter are designed by modern time series analysis method.
结合现代时间序列分析方法，并根据新息模型设计了状态最优滤波器。
Combined with certain type time series recount multiplicity model and random type ARMA model, establish the time series model of the death rate in Chongqing urban area.
应用确定型的时间序列分解法乘法模型与随机型的arma模型相结合，建立重庆市主城区人口死亡率的时间序列模型。
In this paper, the method of weighted least square estimate is proposed to construct ARMA model, which can be applied in power system load forecasting.
采用加权最小二乘法参数估计方法，得到应用于电力系统日负荷预测和月负荷预测的ARMA模型。
Notice that constructing the ARMA innovation model, a left co-prime factorization to a polynomial matrix must be performed, so that the ARMA innovation model can correctly be obtained.
应注意在构造ARMA新息模型时，必须进行多项式矩阵的左素分解，才能得到正确的ARMA新息模型。
ARMA (1, 1) model is established to forecast the settlement during constructing subgrade and the time for next load.
建立了ARMA(1, 1)模型来对公路施工填筑期间的沉降进行短期预测，进而对下一级加载的时间进行预测。
Power function, periodical function, and ARMA model are established according to the characteristics of sub-series.
然后根据各子序列的特性分别建立幂函数、周期函数或ARMA模型并进行预测。
To the ununiqueness of multiple ARMA model, in the paper we give a restriction that makes multiple ARMA model be unique.
本文针对多元ARMA模型形式的不唯一性，给出了一个限制条件，使得多元ARMA模型的形式具有了唯一性。
In this paper, the filtering problem for ARMA signal with uncertain observation is translated into that for state and white noise of the state space model with uncertain observation.
本文将具有不确定观测的ARMA信号滤波问题转化为具有不确定观测的状态空间模型的状态和白噪声滤波问题。
This paper introduces the feasibility of inner recursion networks using in non-linear ARMA model approaching and time series forecasting.
该文介绍了内回归神经网络逼近非线性ARMA模型、用于时间序列预测的可行性。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
By the statistical analysis of ship motion attitude and equivalent argument about ARMA model and ar model, ar model was identified to be the mathematic model for ship motion attitude prediction.
通过对舰船运动姿态统计分析，以及对ARMA模型和AR模型等价性论证，确定了AR模型作为船舶姿态运动预报的数学模型。
In this paper we get the estimation of time-varying parameters in linear regression model with ARMA noise by the least square method and discuss the consistency of the estimation at the same time.
本文利用最小二乘估计给出噪声为ARMA序列线性模型中时变参数估计，并讨论了估计量的相容性问题。
The identification method for the one dimension time series, open loop and closed loop system are developed by use of model ARMA.
讨论了一维时间序列开环系统、闭环系统的辨识方法及定阶问题。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
It is shown that the second order structure is similar to a linear ARMA model with uncorrelated errors. In the end, the best linear predictors are given for USDBL models.
证明了该模型的二阶特性与一个线性平稳arma模型相似，最后给出了该模型的最优化线性预报方法。
This paper deals with stochastic characteristic of the wind speed, and gives an auto-regressive moving-average (ARMA) model for wind speed subjected to particular power spectral density.
该文针对风速随机变化的特性，在风速统计特性研究的基础上，用自回归滑动平均(ARMA)方法建立了具有一定功率谱密度特性的风速模型。
Moreover, SVM-based forecasting model performs faster than ARMA model to forecast the communication traffic. Generally speaking, the overall performance of SVM model is optimal.
而且SVM的预测速度明显比arma模型快，综合各方面考虑，SVM预测模型的整体性能最优。
Moreover, SVM-based forecasting model performs faster than ARMA model to forecast the communication traffic. Generally speaking, the overall performance of SVM model is optimal.
而且SVM的预测速度明显比arma模型快，综合各方面考虑，SVM预测模型的整体性能最优。
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