自回归滑动平均模型

SAR图像分割的多尺度自回归滑动平均模型方法

A New Method for Segmentation of SAR Imagery Based on MARMA ( Multiscale Autoregressive Moving Average ) Model

给出了混合自回归滑动平均模型参数估计的EM算法和定阶准则。

The EM algorithm for estimation of this model is given and shown to work well .

基于自回归滑动平均模型（ARMA）的运动目标检测。

Moving target detection basd on the auto-regressive and moving average model ( ARMA ) .

基于RLS的自回归滑动平均模型的两阶段辨识方法

Two-stage Identification Methods for ARMA Models Using RLS

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 this paper , autoregressive moving average model ( ARMA ) is used to forecast the power load .

首先导出了二阶称重系统的自回归滑动平均模型（ARMA）；

The Auto - Regressive - Moving - Average ( ARMA ) model for the second order weighing system is firstly derived .

提出了将ARMA（自回归滑动平均模型）数学模型预测法与基于径向基函数的神经网络相结合的混合预测方法。

The hybrid forecast approach of combining the ARMA mathematical model forecast approach and Radial Basis Function neural network approach is proposed .

另一方面，作为一种时域线性回归方法，自回归滑动平均模型（ARMA模型）也可被用于识别的结构参数识别。

On the other hand , the Au-to-regressive and moving average ( ARMA ) model , as a time-domain method , has been widely employed to identify structures .

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）。

A mixed autoregressive moving average ( MARMA ) model is proposed for modeling nonlinear time series .

分数自回归滑动平均模型将长程相关性引入了时间序列分析，可以很好的用于VBR视频的建模。

The paper applies a fractional ARIMA ( F-ARIMA ) model on the VBR video to describe both the short-range and long-range dependence , and makes a thorough analysis on empirical video sequences .

将动态称重系统等效为二阶系统，推导出了其动、静态数学模型，然后进行拉普拉斯变换和Z变换，将模型转化成自回归滑动平均模型（ARMA），将问题转化为参数辨识问题。

Dynamic weighing system is as a second-order system and set it up model , then has its transform function laplace transform and Z transform , at last the Auto-Regressive-moving-Average ( ARMA ) model for the second order weighing system is derived .

基于玉米产量是一个随机非平稳序列，所以本文采用求和自回归滑动平均模型（ARIMA）。（3）对玉米产量预测模型进行模型匹配与参数估计，确定了模型的预测精度。

Based on maize yield is a random non-stationary sequence , so this paper summation auto-regressive sliding average model ( ARIMA ) . ( 3 ) Yield prediction model of model matching and parameter estimation , identified the prediction precision .

通过引入虚拟系统的概念，利用缸盖表面振动信号的自回归滑动平均模型（ARMA模型）求出了实际缸盖系统的传递函数，并将其应用于重建缸内气体压力曲线。

With the concept of " Assumed System ", the transfer function of real cylinder head system is established using the ARMA models of surface vibration signals of cylinder head . Then this transfer function is successfully used to reconstruct the gas pressure trace inside the cylinder .

拮抗肌对的自回归滑动平均模型的参数分析

Parameters Analysis of Elbow Antagonist Muscles with Autoregressive Moving Average Model

双自回归滑动平均模型风速预测研究

Wind Speed Prediction Research Based on Double ARMA Models

颈动脉多普勒信号自回归滑动平均模型极点特征及分类应用

The ARMA model 's pole characteristics of Doppler signals from the carotid artery and their classification application

在成功提取趋势项后，通过采用时间序列的分析方法，建立了陀螺漂移平稳时间序列的自回归滑动平均模型；

After the trend extraction , the method of time series analysis is used to make the autoregressive moving average ( ARMA ) model for stationary time series .

受控自回归滑动平均模型是用来描述随机现象中输入与输出关系的一类线性动态模型。

Controlled auto regressive moving average ( CARMA ) model is a kind of linear dynamic model used for describing the relationship between input and output in stochastic phenomenon .

与以往方案往往对影响资源预测的许多复杂因素建模不同，该方案使用自回归滑动平均模型预测下一时刻可能的切换掉线数目，然后通过一个闭环控制动态更新资源预留门限。

The approach updates the reservation threshold through a closed-loop control by directly forecasting the next possible number of handoff-dropping calls using auto regressive moving average ( ARMA ) model .

首先对数据进行了预处理，然后使用最小二乘法和稳健估计法分别建立了自回归滑动平均模型。通过模型提前预测了下个30分钟的风电场出力，总共预测了10次。

Firstly preprocess the data , and then use the least squares method and robust estimation method respectively to build an autoregressive integrated moving average model , finally forecast the wind power in the next 30 minutes , and repeat 10 times .

针对自回归滑动平均模型的非线性参数估计特征，提出了将参数估计分两步走，一是参数初估计，二是参数精估计。

Aim to characteristics of nonlinear parameter estimation in autoregressive moving average model , it is brought forward that parameter estimation is divided into two steps : the first step is parametric preliminary estimation , the second step is parametric precision estimation .

基于混合优化策略的自回归&滑动平均模型建模

Model ing of auto - regressive moving-average ( arma ) based on hybrid optimization strategy

本文采用时间序列的自回归～滑动平均模型对北京市区浅层地下水位进行预测预报。

The shallow groundwater level in urban district of Beijing is forecast by using autoregressive-moving average model of time series herein .

本文对用受控自回归积分滑动平均模型描述并具有有界扰动和模型阶失配的多变量系统提出一种自适应控制方法。

A robust adaptive controller is presented for a multivariable plant described by a controlled auto-regressive integrated moving average ( CARIMA ) model in the presence of bounded disturbances and plant-model order mismatches .

乘积与自回归求和滑动平均模型在湖北省发电量预测中的应用

Application of product and ARIMA model to forecasting electrical energy generation in Hubei Province

进一步将结果推广到存在损失数据的自回归滑动平均时间序列模型。

Furthermore , the proposed algorithm is extended to autoregressive moving average time series models with missing data .

时间序列分析方法也是多种多样，像传统的自回归模型、滑动平均模型、自回归滑动平均模型以及近年来迅速发展的数据挖掘和高阶统计量方法等等。

There are a lot of methods , for example , Auto-Regression Model ( AR )、 Moving Average Model ( MA )、 Auto-Regression Moving Average Model and Data Mining 、 Higher-Order Statistics which has been developed in recent years .

本文分析了自回归滑动平均（ARMA）模型的频域特性；

This paper focusses on analysing properties of Autoregressive Moving Average ( ARMA ) model in frequency domain .

应用自回归滑动平均（ARMA）模型对大跨度薄膜结构随机风场进行了数值仿真；

Auto-regressive moving average ( ARMA ) model is presented for synthesizing the stochastic wind field on membrane structures .

本文在已知VonKarman功率谱密度函数的情况下，选择利用自回归滑动平均（ARMA）模型来仿真风速。

This paper uses Auto-regressive moving-average ( ARMA ) model to simulate the wind records based on Von Karman spectral .