ar model 中文意思是什麼
ar model
解釋
p階自回歸模型-
This paper analyzes the factors affecting the controlling precision of sand compactibility system and sets up the dynamic model of regression coefficient between sand compactibility and water content. to prevent the insufficiency or excess of sand water content, the amount of the first addition is set as 80 % of the total water addition amount. after the first water addition, we adopt ar model to predict the stable value of sand compactibility to shorten the time mixing the sand. each time we add water, the correction coefficient is introduced to adapt to the change in the composition of sand. the experiment shows that the mathematics model not only makes the water content in sand reach the best range within shorter time, but also directs how the sand composition should be adjusted, which can better conform to the actual situation
分析了影響型砂緊實率控制精度的因素，建立了型砂緊實率-水分回歸系數的動態模型.為防止型砂水分不足或過量，將第一次加水量設定為總加水量的80 .第一次加水后，對型砂緊實率穩定值採用ar模型進行預測，以縮短型砂混制時間.每次加水后，引入修正系數，以適應型砂組成的變化.實驗表明，該數學模型不僅使型砂水分含量在較短時間內達到最佳范圍，同時可指示對型砂組成進行調整，能較好地符合實際情況 -
The basis of ar model was complementally introduced in chapter 3 and through which different ar curves for several types of application purposes were suggested. another constituent of ar model, operations of ear and aar were defined based on a simple occupant counting and ar curves
論文第三章建立了煩惱率模型，同時也給出了適用於不同使用場合的煩惱率曲線，並在煩惱率曲線的基礎上定義了煩惱率期望值和煩惱率平均值運算。 -
Therefore, using the ar model and the prony model to measure the inter - harmonics, an inter - harmonics measuring algorithm which is based on advanced spectral estimation is presented
然後，文章提出了一種基於現代譜估計的間諧波檢測演算法，演算法應用ar模型和擴充prony模型進行間諧波檢測。 -
Because of the spectral line splitting of the burg algorithm, the recursive algorithm of the ar model, we choice the hamming weighted burg algorithm in this paper. the modified burg algorithm can weaken the spectral line splitting effectively. however, the ar model can ’ t gain the phase of the inter - harmonics
由於ar模型的遞推演算法burg演算法存在譜線分裂現象，文中選擇使用hamming窗加權的burg演算法來遞推ar模型，修正後的burg演算法明顯減輕了譜線分裂現象，具有較好的抗噪聲能力，但無法得到間諧波的相位信息。 -
The ar model can comparatively well forecast the movement trend of actual ship ' s rolling
本文建立的自回歸模型可以很好的預測船舶的搖蕩運動趨勢。 -
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。 -
An improved ar model spectral estimation for carrier frequency
模型譜估計法提取載波頻率 -
An improved ar model spectral estimation for carrier frequency. 3
提出了用改進的ar模型譜估計方法估計載波頻率。 -
The robust system can prevent abnormal factors from entering the flood system, so as to ensure the stability of the system and the accuracy of flood forecast. firstly, the theory of robust estimation is introduced into parameter estimation of the auto - regressive model ( ar model ). also some estimation methods commonly used, including the huber estimation and igg estimation, are introduced and compared with the least square method ( lsm )
洪水預報系統的抗差性研究，就是把抗差理論引入洪水預報中，利用抗差系統具有的抗差能力，使許多嚴重的不正常因素誤差影響，根本就不能進入系統，這樣，減少了系統的污染機會，降低了不正常因素的影響，可大大提高系統的穩定性和洪水預報的精度。 -
The following algorithms have been proposed and tested in the thesis : 1 frequency selective fading : combine the isomorphism between the input space and the output space and propose a new approach to blind equalization of the channel. compared with conventional methods, the new approach offers lower computational complexity, better performance, and more robust against the over - determination of the system order ; 2 time selective fading : a new approach to the equalization of time selective channel based on the zero - forced equalizer is proposed which is more simple in its structure of algorithm ; 3 time - varying channel : using the instantaneous mean value changes of the output signal to extract the information of channel variations and model it using ar model, kalman filter is then employed to track channel variations, it bears faster ability in tracking the variation of tv channels ; based on the isomorphism between the inputs and the outputs and some of the approaches using in mimo system, a new algorithm of equalization of simo time - varying channel is proposed, which also share the merits of being robust against the over - determination of the system order ; model the time - varying channel using the multi - resolution decomposition wavelets, and then a blind identification method based " on the model is proposed ; at last, a new model for equalization and identification of mimo system is proposed
主要工作在以下幾個方面： 1 、針對頻率選擇性衰落通道：結合輸入輸出空間同構關系提出一種新的頻率選擇性通道均衡方法，與傳統方法相比，該方法計算量更小，收斂速度更快，性能更優，且對系統階次的過確定表現穩健，具有實際均衡應用價值； 2 、針對時間選擇性衰落通道：提出一種基於迫零均衡的時間選擇性通道均衡方法，演算法結構簡單； 3 、針對時變色散通道：利用瞬態均值曲線提取通道時變信息，對之ar建模，利用卡爾曼濾波器跟蹤時變通道抽頭變化，可以快速跟蹤通道變化；基於輸入輸出空間之間的同構關系以及多輸入多輸出系統的處理方法，提出了新的單輸入多輸出色散時變通道均衡與識別演算法，同樣具有對通道階次過確定保持穩健的優點；結合小波多解析度分析提出一種基於小波模型的通道盲識別演算法；研究時變的多輸入多輸出系統的盲均衡與盲反卷積問題，給出一種時變系統處理模型。 -
This paper discuss a modeling and predicting means for nonlinear systems proceeding from nonlinear systems modeling and predicting theory, whch is based on drnn model. this means overcomes the fact that ar model is used only in linear systems, at the same time it connects itself with approximation theory symbolic statistics and conjugate gradient algorithm, and formulate a system of large watercrafts motion modeling and predicting which is based on drnn model, and simulate it
本論文從非線性系統建模與預報的理論及應用觀點出發，系統地闡述了一類適用於非線性系統的建模預報方法? ?基於drnn模型的建模預報方法，克服了ar模型僅局限於線性的情況，同時結合逼近論、數理統計等知識，運用共軛梯度演算法，提出並建立了基於對角回歸神經網路的大型艦船運動建模預報系統，並進行了模擬。 -
And it improves the ber performance under the low snr condition. then the theory of the ar model and the random performance of the spread spectrum sequence, including co - correlation, balance are discussed
主要討論了ar參數模型提取擴頻碼的基本思想和實現模型，並分析了提取出的擴頻碼的隨機性能，包括相關性，碼平衡特性和遊程特性。 -
The second part brings forward a new ar - model - based arm detection method based on features of arm and characteristics of velocity and acceleration of the radar echoes. by establishing two - order ar models, this new detection method computes the poles of models representing different targets, thus estimates the acceleration of the targets so as to determine the nature of the targets. furthermore, this method can not only be applied when the arm is being tracked by radar, but also be put into use in radar ’ s seeking and scanning times
第二部分則是根據反輻射導彈（ arm ）的特點及其雷達回波信號中速度、加速度等特徵，提出了一種新的基於ar模型的arm檢測演算法，該方法通過建立二階ar模型、估計代表不同目標的模型極點，並由此估算目標加速度來判斷目標性質，該方法不僅可以在雷達已跟蹤上arm后採用，而且適用於雷達搜索掃描時使用，模擬結果表明該方法具有解析度高，對雷達脈沖重復頻率（ pulserepetitionfrequency ， prf ）及積累脈沖數要求不高的特點，在低的prf及少的積累脈沖下，利用該方法仍可有效地識別檢測arm 。 -
An improved ar model is studied, which established by the combination normal order time serial and contrary order data in case the observations are less, and then, the combination model with improved grey and time serial is introduced. it can reflect not only the deformation tendency, but also the stochastic characters. it is very suitable to be applied to deformation analysis and prediction
為了充分利用有限的地表變形數據所蘊涵的內在規律性，提出了利用變形數據的正逆時間序列建立ar模型的方法，並與時變灰色模型組合，不但可反應出變形數據序列的趨勢性，同時還可表現出其隨機性，從而可進一步提高預測的精度和效果。 -
( 3 ) reliability analysis of vibration discomfort of wind - excited buildings was carried out, which presented a reliability - base design formulation that accounted for the uncertainties existed in the dynamic parameters, human response and design methods. ( 4 ) the serviceability - based optimization of tall building was also carried in the chapter and optimization methods and strategies were proposed. the application of ar model in fixed offshore platform was discussed in chapter 6 and chapter 7, which included problems of vibrations induced by sea wave and vibrations induced by sea ice
論文第六章、第七章研究了煩惱率方法在海洋平臺結構設計中的應用，本章研究表明： （ 1 ）合理選擇波浪譜是進行波浪作用下平臺結構振動舒適度分析的前提； （ 2 ）平臺結構振動舒適度的設計水準應該考慮到結構的不同設計壽命； （ 3 ）平臺冰激振動舒適度的設計水準應該和海冰區劃相結合。 -
( 3 ) analysis of serviceability - base floor optimization and corresponding solution curves. chapter 5 discussed the application of ar model in serviceability design of wind - induced vibration of high rise building. the discussion includes four parts
論文第五章研究了煩惱率方法在高層建築結構風振舒適度分析中的應用，包括四個主要內容： （ 1 ）研究以往的振動舒適度設計方法中存在的不確定性。 -
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。 -
4 different types ’ features were generated, namely ar model parameters, power spectral frequency band intensity, energy for wavelet packet decomposition, wavelet packet entropy. every type of features were extracted respectively using pca and ica method and classified using linear neural network, knn and bp network
建立了ar模型參數、功率譜估計頻帶強度、小波包分解能量比率、小波包熵四種特徵，分別使用pca與ica進行特徵提取，採用線性神經網路、 k -緊鄰法、 bp神經網路四種分類器進行分類。 -
The software could realize the wavemaker system control, data acpuisition, data analysis and sensor calibration, the applacation of multi - thread technology, precise timing technology and memory management technology in the wavemaker system is described respectively. furthermore, the software realizes real - time display of sampling process with directx technology and adopts object - oriented thinking to handle interfacing card. estimateing spectrum with ar model and calibrating the sensor with least square algorithm are also discussed in detail
控制軟體利用多線程技術進行多任務控制；採用高精度時間函數實現精確定時；利用虛擬內存與內存映射文件進行內存管理；採用directx技術實現采樣過程的實時顯示；利用最小二乘原理對傳感器進行標定；採用面向對象思想實現對控制採集卡的操作；利用ar參數模型法進行譜估計。 -
As far as the nonstationarity during the long period operation of machinery was concerned, the application of adaptive linear element ( adaline ) neural network to prediction of nonstationary time series was studied. the relationship between adaline and auto regressive ( ar ) model was analyzed, and the method to determine the number of input neurons in adaline prediction model according to bic criteria was presented. the effect of the adaptive learning rate on prediction was also analyzed
針對生產實踐中設備運行的非平穩性，基於動態預測思想，研究了非平穩時間序列的自適應線性單元（ adaline ）神經網路預測，討論了adaline和自回歸（ ar ）模型之間的關系，提出根據ar模型定階方法確定adaline預測模型的輸入神經元數目，分析了自適應學習率對預測性能的影響，為機械設備狀態預測提供了一種方法。
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