滑動平均法 的英文怎麼說

中文拼音 [gǔdòngpíngjūnfǎ]
滑動平均法 英文
method of moving average
  • 滑 : Ⅰ形容詞1 （光滑; 滑溜） slippery; smooth 2 （油滑; 狡詐） cunning; crafty; slippery Ⅱ動詞（貼著物...
  • 平 : Ⅰ形容詞1 （沒有高低凹凸 不頃斜） flat; level; even; smooth 2 （高度相同; 不相上下） on the same l...
  • 均 : Ⅰ形容詞（均勻） equal; even Ⅱ副詞（都; 全） without exception; all
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 滑動 : slither; slippage; slipping; slide; sliding; run; sliding movement [motion]; glide; slump滑動閘門...
  1. The forecasts method including the forecast method of simple moving average, the forecast method of weighting moving average, the forecast method of single exponential smoothing, the forecast method of double exponential smoothing, the forecast method of multiplication model and the forecast method of monadic linear regression

    預測方法包括簡單移動平均法、加權移動平均法、一次指數平滑法、二次指數平滑法、乘法模型預測法和一元線性回歸方程預測法。
  2. Based on the three prediction models, the combined forecast is conducted using the separate solutions of moving average, exponential smoothing and gray prediction to investigate whether the combined forecast model matches the sales volume prediction of truck wooden boxes

    最後採用組合預測之三種預測模型，將移動平均法、指數平滑法、灰預測法所求得之解作組合預測，以探討組合預測模型是否適合木製框式車身的銷售數量預測。
  3. In order to develop these analytical models into practically applicable forms, the forth order momentum of jons wap spectrum is estimated using the time - averaging technique ( glazman 1986 )

    為獲得便於應用的模式，本文採用glazman （ 1986 ）滑動平均方法估計海浪譜矩。
  4. Experimental results show it can find the rough toa range in order to lessen the computation burden, while getting rid of glints and disturbing components attached to the phase difference signals, the paper suggests a data compression procedure combined with dynamic smoothing

    為了減小擬合計算量並盡量濾除疊加在相位差序列上的干擾起伏，採用了數據壓縮結合滑動平均的預處理方法，並對該方法的正確性和有效性進行了方差分析驗證。
  5. A important result is the one - orde r expression of ar ( p ) yt = dyt - 1 + e, from paralleling a high - order differential equation transformation into a one - order differential equation system, the one - order expression exposes that the ar ( p ) is only a certain more - multivariable power series process and, if a process is described as an ar ( p ), the sufficient and necessary condition is the spectrum norm a of the coefficient matrix d less than one. simplification of ar ( p ) not only brings about orthogonal f ( h ) but also provides global foretelling formula

    作者用高階微分方程化一階微分方程組的方法，獲得多元弱平穩序列p階自回歸模型的一步滑動平均表達式，證明了ar （ p ）的是一個更高維的冪級數的線性過程，從而，說明了ar （ p ）關于序列依概率成立的充要條件是：該模型更高維的冪級數的線性過程的表達式中系數矩陣d的譜范數1 。
  6. The observed data of temperature during 1954 ~ 2003 in hotan area were used, the annual and seasonal change trends are analyzed by moving - average method ; the statistical characteristics were calculated to analyze the variation feature of temperature within a year

    摘要本文採用和田地區1954 - 2003年氣溫實測資料，使用滑動平均法計算氣溫年際及季節變化趨勢；計算統計特徵值來分析氣溫年內變化特徵。
  7. Studied the cluster and background reduction algorithm and, proposed an enhanced adaptive step average method based on the amplitude of a - scan signal ; 2. improved the gpr data acquisition and processing software, some utilities have been added such as position wheel control program, data format translation etc. ; 3. implemented 3d targets imaging using mixed programming of matlab and visual c + + ; 4

    本文的主要工作如下: 1 .研究了探地雷達回波信號雜波及背景去除演算法，改進了一種基於a - scan信號強度的自適應滑動平均法; 2 .改進並完善了探地雷達數據採集處理軟體，加入了定位輪控制數據採集、數據格式轉換、目標距離測定等程序; 3 .研究了探地雷達目標成像演算法，利用動態鏈接庫技術實現了在脫離matlab環境下在visualc + +編寫的程序中調用matlab程序對目標進行三維成像的功能; 4 .參加外場實驗及項目驗收。
  8. 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 ） 。
  9. Take the computer as the tool, the use technology economic evaluation method realization highly effective, the accurate decision - making, brings the good economic efficiency for the enterprise. the many kinds of assessment method synthesis application enhance the policy - making efficiency, and cause the decision - making to be more reasonable

    本文主要工作是對計算機輔助決策常用的預測模型簡單移動平均法，加權移動平均法，指數平滑預測法，二次指數平滑預測法，以及在技術經濟評價方法中有關靜態評價法和動態評價法進行了介紹，總結出一些經驗。
  10. Aees employs the multi - staged digital filter algorithm to reduce random error. meanwile, the system correct zero deviation through linear opreation. the instrument, from hardware aspect increases the feature of anti - interference by the way of reasonable layout, sepration of digital and analogue

    系統採用了中值濾波和滑動平均濾波相結合的多級數字濾波演算法來減小隨機誤差，並以精密基準電壓作為比較信號的輸入，由智能系統通過線性運算，實時地修正、校準測量數據，減小系統的零漂，實現自動定標並提高測量的精度。
  11. Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy. numerical simulation results show this model possesses many advantages, such as good self - adaptive ability, quick training and good recognition performance

    文中提出了採用歐氏距離判別法作為混合型多特徵異常模式的識別方法；提出了採用數據模糊化和指數加權滑動平均處理兩種提高模型識別精度的方法。
  12. 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。
  13. We made an improvement in overcoming the defects in speech signal adaptive delta modulation ( abbr. adm ), such as slope overloading and grain noise. in this method, numerical sliding average filtering was used for filtering decoding speech signal. experiments and analyses indicate that the method makes waveforms in good agreement between the decoding of adm and the original pulse coding modulation ( abbr. pcm ) signal, and considerably improves, the playback speech quality in naturalness, legibility and under standability

    針對語音信號自適應增量調制（ adm ）方式中斜率過載和顆粒噪聲缺點，提出了一種改進方法，它利用滑動平均方法對解碼后的信號進行數字濾波.試驗和分析表明，該方法使解碼后的信號波形與原脈沖編碼調制（ pcm ）波形具有很好的一致性，使再生語音質量在自然度、清晰度和可懂度方面比改進前均有較大提高
  14. 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 。
  15. With the analysis methods of eof, reof, wavelet, correlation, running mean, and synthesis, sanxia summer precipitation ( sxsp ) anomaly rules and its reasons is studied. the results show that : ( 1 ) sxsp anomalies exhibit remarkable variation cycle of 15 years, 6 - 7 years and 2 ~ 3 years. the distribution of sxsp is in phase with the middle - low reaches of the yangtze river, while it is out of phase with that of middle and west of sichuan basin

    本文採用1959 2001年三峽庫區44個觀測站夏季（ 6 8月）降水量資料、 1959 2001年ncep ncar逐月、逐日資料， 1959 2000年中國160站降水資料、全球逐月海溫資料等，利用eof 、 reof 、小波變換、合成分析、相關分析、滑動平均等方法，研究了三峽庫區夏季降水異常規律及其成因。
  16. Considering the limits of all predicting models, we select some kinds of methods form predecessor ' s study such as grey - movement forecasting modes of uniformly factal, exponent smoothing prediction verhulst model forecasting, verhulst inverse - function forecasting, trend prediction, growing model prediction and so on to build a model base. it is a software of landslide prediction which based on gis and developed by vb6. 0

    考慮到各種預測預報理論模型的局限性，本文從前人的理論模型中選出了等維灰數遞補動態預測模型、指數平滑預報模型、 verhulst及verhulst反函數預報模型、趨勢移動平均法預報模型、 「成長」曲線預報模型等幾種模型建成預測預報模型庫，以mapinfo為平臺，利用vb6 . 0語言開發研製了基於gis的滑坡預測預報軟體系統。
  17. 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。
  18. In this paper, some mathematical methods used to forecast the income of intangible assets are compared, in which we find some mathematical methods ( the forecasting model in time sequence, exponential smoothing estimation method, regressive model ) are not same with the valuing intangible assets, grey model and s - curve model are good to valuing intangible assets. in the base of this, combinatorial model is brought forward in order to make up the limitation of other mathematical me thods

    本文將無形資產收益額的預測方法進行比較，發現常用的預測方法（平均數法、指數平滑法、移動平均法和回歸預測模型）在預測無形資產收益額是存在很大局限性，而灰色預測模型和成長曲線模型能充分放映無形資產的收益曲線，在進行比較的基礎上提出組合預測模型，以彌補各種方法的缺陷。
  19. There are a lot of methods, for example, auto - regression model ( ar ) 、 moving average model ( ma ) 、 auto - regression moving average model and data mining 、 higher - order statistics which has been developed in recent years

    時間序列分析方法也是多種多樣，像傳統的自回歸模型、滑動平均模型、自回歸滑動平均模型以及近年來迅速發展的數據挖掘和高階統計量方法等等。
  20. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
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