• Here, the system parameters mean ARMA wavelet parameters.

    这里的系统参数是指arma子波参数。

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  • Similarly, the method can be used to compute spectrum value of ARMA.

    同样,此法也可用于ARMA谱估计的谱值计算中。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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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  • It can handle the optimal filtering, smoothing and prediction problems of stationary or non -stationary ARMA signals in the unified framework.

    它可统一处理平稳或非平稳arma信号的最优滤波、平滑和预报问题。

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  • 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。

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  • We use ARMA model to describe the seismic wavelet, and use genetic algorithms to estimate the ar parameters and the ma parameters iteratively.

    该方法用ARMA模型描述地震子波,用遗传算法交替迭代地估计AR和MA参数。

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  • We make analyses of the three hypotheses of regression. Adaptive adjustment of smoothing index parameters and parameter estimation of ARMA models.

    对统计算法中回归模型中的假设条件、平滑指数的自适应调整、ARMA模型的参数估计作了一些分析。

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  • 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。

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  • While the game world in ARMA 2 is so open and so large (about 225km2 of land without loading), the AI must be very smart to just navigate through the world.

    由于《武装突袭2》的游戏世界如此之大(大概225平方公里的陆地并无缝载入),AI必须非常聪明的行动于其中。

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  • ARMA 2 will require a Dual Core processor. That's essential because of the new engine architecture and the amount of calculations which have to be processed.

    《武装突袭2》将会需要多核处理器,这对于新的游戏引擎和大量的数据运算来说是必须的。

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  • ARMA 2 will require a Dual Core processor. That's essential because of the new engine architecture and the amount of calculations which have to be processed.

    《武装突袭2》将会需要多核处理器,这对于新的游戏引擎和大量的数据运算来说是必须的。

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