autoregressive method 中文意思是什麼
autoregressive method
解釋
自回歸法- autoregressive : 自回歸的
- method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
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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。 -
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。 -
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。 -
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 。 -
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。 -
Immunity mix algorithm based on the continuous differential function is proposed in this paper, and its astringency is proved. from here we get the accurate estimator method of the autoregressive moving average model coefficient
本文首先提出了通用的基於連續可導函數的免疫混合演算法，並證明了其收斂性，由此我們得到了自回歸滑動均值模型系數的精確估計方法。 -
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。 -
Cardiac arrhythmia classification based on mutiple lead electrocardiogram signals and multivariate autoregressive modeling method
基於多導聯心電信號和多變量回歸模型的心律失常的分類 -
Improvement of autoregressive prediction method based on data row transformation
基於數據列變換的自回歸預測方法的改善 -
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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