moving average method 中文意思是什麼

moving average method 解釋
移動擬合法
  • moving : n. 1. 活動,移動；煽動,感動。2. 〈pl. 〉〈口語〉電影。adj. 1. 動的；移動的。2. 使人感動的,動人的。3. 主動的，原動力的。
  • average : n 1 平均，平均數。2 一般水平，平均標準。3 【商業】海損；海損費用；（給領航的）報酬。adj 1 平均的...
  • 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】...
  1. In order to measure seasonal variation we typically use the ratio-to-moving average method.

    為了度量季節變動，我們通常使用移動平均比率法。
  2. 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。
  3. Base on the data collected from the field investigations, we analyzed the static life table, age structure, spatial distribution patterns of the populations of e. chloranthoides. we further studied the intraspecific competitions within the species and the interspecific competitions between the species and other concomitant species in the communities. with the helps of the logistic equation, leslie ' s matrix and the average moving law method we simulated and estimated the population dynamics of this endangered plant species

    本研究以縉雲衛矛為研究對象，通過對三個種群的野外調查，研究和分析了縉雲衛矛的種群年齡結構、種群空間分佈格局及種內和種間的競爭關系，並利用logistic方程、 leslie矩陣及移動平均法模擬和預測了三個種群的數量和結構動態，在此基礎上分析了造成縉雲衛矛瀕危的原因，提出了相應的保護措施，旨在為縉雲衛矛的保護提供理論依據。
  4. 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。
  5. In view of the altitude problems of inspecting the weighted average ways of obtaining altitude and the advantages and disadvantages of moving surface interpolation method are talked about through comparison, with which the writer draws a conclusion that moving surface interpolation method is suitable to be applied for the dynamic state inspection places, moreover the key technology about the dynamic slate inspection is also taken into consideration, which includes digital camera and types of camera lens, the cause of camera lens distortion and the fundamental determining principle, the gain of image coordinate and the realization of time synchronization

    針對檢定點高程問題，分析比較了獲取高程的加權平均法和移動曲而內插法的優缺點，得出移動曲面內插法適合用於動態檢定場的結論。特別是針對動態檢定的關鍵技術給予了相關研究，內容涉及：數碼相機及相機鏡頭的選型，相機畸變差產生原因及測定的基本原理，像片坐標獲取以及時間同步實現，得出結論：利用gpsoem板的秒脈沖（ 1pps ）輸出特性，能夠實現兩臺數碼相機與gps接收機時間同步，滿足動態檢定指標要求。
  6. Dynamic weighing system is as a second - order system and set it up model, then has its transform function laplace transform and z transform, at last has a formula that m is only relation to the system parameters. this article has system identified with the recursive least square ( rls ) method, and has the system parameters, while the auto - regressive - moving - average ( arma ) model for the second order weighing system is firstly derived. and has a equation which the mass is only correlation to the system parameters

    論文具體分析了定量稱量問題，首先是把稱量系統看作是一個二階系統，建立數學模后，進行拉普拉斯變換和z變換后得出一個質量僅與系統參數有關的關系式，從而把稱量問題轉化為一個系統參數識別問題來解決。通過編寫的程序來採集系統信號並進行處理（運用漸消遞推最小二乘法）對系統參數進行識別，從而得出稱量結果。
  7. 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。
  8. We apply this method to shanghai index, shenzhen index and a random selected stock ' s moving average index from jan, 1999 to apr. 2003 to test the accuracy of prediction

    為了證明系統的有效性，本文對上證綜合指數、深證綜合指數、隨機選取的個股1999年1月年至2003年4月的實際數據進行了預測檢驗。
  9. Using the order - up - to ( out ) method and two demand forecasting patterns, that are exponential smoothing forecasting and moving average forecasting, we give the frequency response plot and the noise bandwidth figure with the help of the system control tool of matlab. we show that information sharing helps to reduce the bullwhip effect, especially at higher levels in the chain. however, the bullwhip effect problem is not completely eliminated and it still increases as one moves up the chain

    本文的重點內容就是用控制論的理論和方法來研究牛鞭效應，應用補充到目標庫存策略（ out ）和兩種不同的需求預測方法，即指數平衡預測法和移動平均數預測法，用matlab的系統控制工具箱作為分析工具，分別給出了信息共享情況下和無信息共享情況下的頻率響應圖和帶寬比較圖，證明了信息共享能夠減弱牛鞭效應，尤其是在供應鏈的高級階段，但牛鞭效應並不能完全消除，仍舊隨著供應鏈階段的上升而增加。
  10. By comparing the return of moving average, predicted by neural networks, rule to simple moving average rule and buy and hold strategy, our trading system shows good performance. it could beat both the simple technical analysis method and the buy and hold strategy

    同時，根據本文提出的簡單投資操作機制，結合預測分析，對隨機選取的個股2002年數據進行了實際投資檢驗，與採用簡單移動平均的一般技術分析手段和採用買入持有投資機制的投資情況進行對比。
  11. It combines the real echoes with the date simulated using the real airborne sar system parameters to analyze and validate the method. after the combined data are filtered, the improved greatest of cell - average constant - false - alarm - rate ( go - ca - cfar ) is used to judge whether moving target is detected or not. in the following, real moving target is detected and its velocity and position is gained through which it is focused well

    將接收的實際場景數據與實際系統參數下模擬的典型數據相結合，分析、驗證了頻域濾波法的性能，並對濾波后的數據採用改進的選大單元平均恆虛警率（ go - ca - cfar ）方法進行處理，判斷動目標是否存在；然後對實際的動目標進行檢測，準確的估計出目標速度及位置並對目標重新聚焦成像，接下來將聚焦的動目標圖像和常規sar圖像迭加，同時得到了回到真實位置的動目標聚焦圖像和實際場景sar圖像。
  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. 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 。
  14. Due to the existing volatility, stochastic and dynamic properties of cash flow, this paper employs exponential smoothing method and moving average method to eliminate the effects of the stochastic factors, use the seasonal exponent to eliminate the seasonal volatility of the cash flow, the exponent curve and polynomial fitting curve to estimate the overall cash flow and also provides the calculating methods and identifying principle of the overall cash flow

    由於現金流量的波動性、隨機性、動態性等特性的存在，依靠單一方法無法科學、準確的預測現金流量。論文提出利用指數平滑和移動平滑的方法來剔除隨機因素影響，利用季節指數來消除現金流量的季節波動，之後再利用指數曲線或者多項式擬合曲線來預測整體現金流量的方法，並給出了整體現金流量的計算方法和確定原理。
  15. 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。
  16. Moving average method

    移動擬合法
  17. 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。
  18. The paper proves that with ar ( 1 ) process for the end demand, if retailer adopts moving average or exponential smoothing to forecast the non - zero lead time demand, then bullwhip effect in demand forecasting and processing will occur ; if retailer adopts the optimal forecasting method, then bullwhip effect will occur conditionally

    證明當存在訂貨提前期時，零售商採用移動平均法及一次指數平滑法預測會導致在需求預測，信息處理及傳遞過程中產生牛鞭效應；而採用最優預測僅在需求相關性很強時存在有限值的牛鞭效應。
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