Arma module can be used to predict the state-argument of aviation electronical armaments.
利用ARMA模型对航空电子装备选定的状态预测量进行估计。
ARMA model has been widely used in stochastic hydrologic field.
ARMA模型在随机水文学及其他领域中有广泛的应用。
Further, the filter for ARMA signal with uncertain observation is obtained.
进而获得具有不确定观测的ARMA信号滤波器。
The ARMA innovation models play an important role in the optimal filtering.
ARMA 新息模型在最优滤波理论中起重要作用。
Several criteria such as AIC and SIC are usually used in ARMA model selection.
AIC与SIC等准则函数方法是arma模型选择过程中经常使用的方法。
Minimum system configuration has been published on the official ARMA 2 website.
最低硬件需求清单已经发布在《武装突袭2》官方网站上了。
In this paper a linear method for parameter estimation of ARMA model is proposed.
本文提出估计ARMA模型参数的一种线性方法。
It is shown that an ARMA model of minimum order exists for a given target spectrum.
论文表明，对给定的目标谱，存在一最低阶的ARMA模型。
ARMA model of nonlinear structural vibration and control systems were studied in this paper.
本文研究了结构非线性振动及其控制系统的ARMA模型的建立问题。
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。
Secondly, we have detailedly analyzed the parameter structure of ARMA by method of least squares;
然后，利用最小二乘法理论对ARMA模型的参数结构进行了详细地分析；
A lot. I have already described several new elements in ARMA 2 and wouldn't like to uncover too much…
非常多。我已经在前面介绍了许多《武装突袭2》中的新元素，在这里我不想再说更多的了……
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。
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。
Please start us off by introducing yourself and telling us about your involvement with the development of ARMA 2.
请您从自我介绍开始介绍一下您在武装突袭2开发过程中的参与情况。
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。
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。
This paper discusses the problem of estimating the frequencies of sinusoidal signals in colored non-Gaussian ARMA noise.
本文研究非高斯arma有色噪声中的正弦信号频率估计问题。
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。
Signal estimation can be a special form of state estimation, such as ARMA signal being estimated as the component of a state.
信号估计可作为状态估计的一种特殊形式，例如ARMA信号估计可转化成一个状态分量的估计问题。
The precision of the presented method is higher than the traditional method in predicting generalized time-varying ARMA series.
大量计算表明，本文方法与传统方法相比，具有更高的预测精度。
Conclusion ARMA (4, 2) -arch (2) model can be used as the forecasting model of cholecystitis incidence rate in Haixizhou region.
结论ARMA (4,2)- ARCH(2)模型可作为海西州地区胆囊炎发病率的预测模型。
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 modal analysis and parametric identification are carried out. The ARMA mode and FFT spectrum analysis are used for these objects.
最后，用ARMA时序模型及FFT谱分析对此雷达进行了实验分析。
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 algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.
本文基于时间序列分析ARMA模型探讨了结构损伤特征提取和损伤预警的实现方法。
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。
To analyze the impact of advanced customer demand commitment on a supply chain, the customer demand with ARMA (1, 1) process is considered.
为了分析供应链需求提前承诺的影响效果，考虑供应链所面临的顾客需求满足ARMA(1,1)过程。
To analyze the impact of advanced customer demand commitment on a supply chain, the customer demand with ARMA (1, 1) process is considered.
为了分析供应链需求提前承诺的影响效果，考虑供应链所面临的顾客需求满足ARMA(1,1)过程。
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