autoregressive model 中文意思是什麼

autoregressive model 解釋
自回歸模型
  • autoregressive : 自回歸的
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. Moreover, special aspects of self - similar traffic are summarized. for long - range dependent traffic, two prediction models are given and discussed the prediction results can be applied to reduce loss ratio in allocation of memories in network nodes. the first model is farima ( fractional autoregressive integrated moving average )

    根據自相似業務流的長相關特性，本文重點討論了兩種數學模型，目的是用這兩種模型對自相似業務流進行預測，進而根據預測結果對計算機網路節點的存儲器資源進行合理的分配，使得丟失率達到最小。
  2. Estimating these models, and fitting sample data lead to a conclusion that the smooth transition autoregressive model is the best one which describes the rmb ' s real exchange rate behavior well

    通過對這些模型的估計，以及在所估計的模型的基礎上對樣本數據進行擬合，發現了最適合中國人民幣實際匯率的動態行為的模型，進而對人民幣實際匯率的行為進行更深入的分析和討論。
  3. This system adopts cumulatively autoregressive moving average model [ arima ] of time series method and modified model gm ( 1, 1 ) of grey system, makes a local load forecasting modeling through the integration of the above two models and also preprocesses the daily load during the sudden change of climate, thus greatly improving the forecast accuracy. the practical operation indicates that the model is reasonable and easy to operate with complete function

    本系統在經過反復試算后，在演算法上採用了時間序列法的累積式自回歸動平均模型（ arima ）與灰色系統中的gm （ 1 ， 1 ）改進模型，並將兩種模型組合用於該地區負荷預報建模，另外還對氣候急變日負荷進行了預處理，大大提高了預報準確度。
  4. 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。
  5. So, the real exchange rate of rmb is chosen as the objective of this study. firstly, the international exchange rate theories are reviewed, on the basis of which one - variable autoregressive models of time series are put forward. then, according to analyzing real exchange rate theories and the properties of rmb ' s real exchange rate, a linear autoregressive model and two nonlinear regime switch models are selected as tools for this research

    首先，本文對匯率的理論研究進行了回顧，提出了使用時間序列的一元自回歸模型，然後，在對實際匯率的理論研究，以及人民幣實際匯率本身所具有的特點進行分析的基礎上，選擇使用線性自回歸模型和非線性的制度轉換模型中的自我激勵閾值自回歸模型和平滑過渡自回歸模型來描述實際匯率的動態行為特徵。
  6. Moreover, in this paper we study the unstable autoregressive model for first order [ ar ( 1 ) ] with heavy tailed innovations

    此外本文還對具有重尾分佈的一階自回歸非平穩[ ar （ 1 ） ]模型進行了研究。
  7. So we apply momentum threshold autoregressive model ( mtar ) in this paper to analyze bubble - driven run - ups in stock prices followed by a crash in a cointegration framework with asymmetric adjustment

    因此，本文引入mtar模型，通過檢驗協整殘差的非對稱調整假設，對我國股票市場發展的不同階段是否存在泡沫現象進行對比分析。
  8. 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。
  9. Autoregressive integrated moving average model

    自回歸積分滑動平均模型
  10. Autoregressive moving average model

    自回歸滑動平均模型
  11. In the last decade, there exist two active lines on the investigation of nonlinear time series. one is the autoregressive conditional heteroscedasticity ( arch ) model, the another is the nonstationary ( unit root ) time series model

    對非線性時間序列的研究，近幾十年來，有兩條研究路線非常活躍，其一是自回歸條件異方差（ arch ）模型，其二是非平穩（單位根）時間序列模型。
  12. 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。
  13. An autoregressive model is used to fit the linear part of series ; the neural network is used to fit the nonlinear part of series and to compensate the unknown disturbance

    利用一個線性ar模型擬合時間序列的線性部分，用神經網路擬合時間序列的非線性部分並補償外界未知的擾動。
  14. The integral absolute value, autoregressive ( ar ) model coefficients, and linear cepstrum coefficients are extracted as feature parameters from time segments of the surface myoelectric signals

    選擇的表面肌電特徵參數分別為時域絕對值積分、 ar模型系數和線性倒譜系數。
  15. Autoregressive model can predict the low - scale ( high frequency random ) data as well as fnn, but it is simpler than fnn. so we use ar to predict high frequency data. we perform simulations for a certain 30s sttf prediction using different approaches and compare the results

    對于分解后的高頻隨機數據，自回歸（ ar ）模型預測能取得和模糊神經網路相當的精度，但它相對而言數學物理意義更明確，不需要確定繁雜的模糊規則。
  16. Autoregressive model - based robust speech recognition in additive noise environment

    基於自回歸模型的加性噪聲環境穩健語音識別
  17. Application of transfer function - autoregressive model in estimation of groundwater depth

    自回歸模型在地下水埋深估計中的應用
  18. The application of rbf networks - based autoregressive model in vibration simulation of nc machine tool

    模型在數控振動模擬中的應用
  19. Although the chronicle patterns inherent in the electric loads could be approached by the autoregressive model from the historical records, factors other than the chronicle patterns could still have significant impacts on the accuracy of the load forecast

    因此本論文以提升預測之準確性為目標，提出一個可考慮非時間因素影響之負載預測架構。
  20. Parameter method was adopted to generate time series conforming to the specified power spectrum. a autoregressive model was estimated by program which based upon yule - walker equation. good agreement was obtained between the simulated spectrum and the target spectrum

    本文利用ar參數模型方法根據陣風功率譜模擬產生相應的風速時間序列，編寫了相應的matlab模擬程序，並計算得到了ar模型的參數，結果表明模擬信號的功率譜與原始譜比較一致。
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