arma autoregressive moving average 中文意思是什麼

arma autoregressive moving average 解釋
自回歸移動取平均
  • arma : 阿爾馬
  • autoregressive : 自回歸的
  • moving : n. 1. 活動,移動；煽動,感動。2. 〈pl. 〉〈口語〉電影。adj. 1. 動的；移動的。2. 使人感動的,動人的。3. 主動的，原動力的。
  • average : n 1 平均，平均數。2 一般水平，平均標準。3 【商業】海損；海損費用；（給領航的）報酬。adj 1 平均的...
  1. Two - stage algorithms of parameter estimation for the autoregressive moving average ( arma ) models are presented, which are called two - stage recursive least squares algorithm ( 2 - rls ) and recursive least squares - pseudoinverse algorithm ( rls - pi )

    本文提出了自回歸滑動平均（ arma ）模型的兩段參數估計演算法：兩段遞推最小二乘演算法（ 2 - rls ）和遞推最小二乘-偽逆演算法（ rls - pi ） 。
  2. According to the needs of gps / sins integrated navigation algorithm, the error models of gps and sins are studied respectively. the autoregressive ( ar ) models and autoregressive moving average ( arma ) models of gps positioning error are established based on the analysis of the properties of static gps positioning error data. and the neural network method to determine the ar model parameters is given

    根據gps / sins組合導航演算法的需要，分別對gps和捷聯系統的誤差模型進行了研究，在對gps靜態定位誤差數據特性分析的基礎上，建立了gps定位誤差的自回歸（ ar ）模型和自回歸滑動平均和（ arma ）模型，並用神經網路方法確定了ar模型參數。
  3. Compared to the traditional parameter - fixed autoregressive moving average ( arma ) method, the mep algorithm is adaptive and capable of tracking rtt dynamics rapidly

    與傳統的參數固定的自回歸滑動平均（ arma ）方法比較， mep演算法是自適應的並能夠迅速動態地跟蹤rtt 。
  4. We consider a causal, stationary, autoregressive, moving average [ arma ( p, q ) ] process with heavy tailed noise variables. we develop the definition of the inverse autocorrelation function, and obtain the g - spectral estimator of the inverse autocorrelation function

    本文基於噪聲序列具有重尾分佈的因果、平穩自回歸滑動平均[ arma （ p ， q ） ]過程，給出了其逆自相關函數的定義，並且給出了逆自相關函數的g -譜估計。
  5. Based on the classical least squares method ( rls ) in system identification, the several new identification algorithms of parameter estimation for the autoregressive moving average ( arma ) model, are presented. they include univariable and multivariable two - stage recursive least squares - recursive extended least squares ( rls - rels ) and two - stage recursive least squares - pseudo - inverse ( rls - pi ) algorithms

    本文在系統辨識經典的最小二乘法（ rls ）的基礎上，提出了自回歸滑動平均（ arma ）模型參數估計的一些新的辨識演算法，它包括單變量和多變量兩段遞推最小二乘?遞推增廣最小二乘（ rls ? rels ）演算法和兩段遞推最小二乘?偽逆（ rls ? pi ）演算法等。
  6. In this thesis, autoregressive moving average ( arma ) models are applied to identify the flow regimes of two - phase flow. experiments are carried out on the facilities include gas - solid fluidized bed and gas - liquid two - phase flow pipelines. the results show that the methods are effective

    本文基於arma （ autoregressivemovingaverage ）模型，對氣固流化床和氣液兩相流系統進行了分析並進一步對其流型進行了辨識，得到了一些有益的結論。
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