autoregressive process 中文意思是什麼

autoregressive process 解釋
自回歸過程
  • autoregressive : 自回歸的
  • process : n 1 進行,經過;過程,歷程;作用。 2 處置,方法,步驟;加工處理,工藝程序,工序;製作法。3 【攝影...
  1. For the dynamic process of ship rolling movement, this paper analyses its dynamic date with time series analysis method and brings up this system ' s the most excellent autoregressive model ( ar model ) according to least aic criterion ( akaile, information criterion ). it reveals the regular pattern of ship rolling movement and forecasts the future value of roll angle and pitch angle, then transforms it to adjusting value of object and adjusting it according to appropriate control rules

    對于船舶搖蕩運動這一動態過程,採用時間序列分析的方法,建立系統的自回歸模型( ar模型) ,並根據最小aic信息量判定準則保證建立的系統模型為最優化模型。利用參數模型的方式對船舶橫搖、縱搖運動的動態數據進行分析處理,揭示船舶搖蕩運動的規律,預測船舶橫搖角、縱搖角的未來值。
  2. 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。
  3. This article is to develop autoregressive ( ar ) model spectrum estimation based on the theory of digital signal processing to analyze, process flow signal, to get the frequency of flow signal and then convert it to flow value. at last, the flow value is compared with the result that is gained by using count method

    本文的主要目的是以數字信號處理的理論為基礎,採用自回歸( autoregressive ,縮寫為ar )模型譜估計的方法對渦街流量計的輸出信號進行分析和處理,得出流量信號的頻率,再換算成流量值,並將其與計數測量方法得出的結果進行了對比。
  4. For the general season time series, according to the model of season autoregressive integrated moving average, the concept of horizontal and lengthways trend are gave, and a new season time series model is brought forward. and then the process of modeling is simplified consumedly. to the estimate problem of a kind of time series, the model performance is good

    對於一般的季節時間序列,我們基於季節自回歸求和均值模型,引入了橫向和縱向趨勢的概念,提出了一類新的季節時間序列模型,大大簡化了建模的過程,對一類時間序列的預測問題,模型性能表現良好。
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