exponential smoothing 中文意思是什麼
exponential smoothing
解釋
指數型平滑，指數平滑法- exponential : adj 指數的，冪的。 exponential curve 指數曲線。 exponential function 指數函數。 exponential sum ...
- smoothing : 【統計學】修勻。
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Analysis of communication software reliability based on double exponential smoothing technique
基於雙指數平滑方法的通信軟體可靠性分析 -
Single exponential smoothing technique and double exponential smoothing technique were studied and the reliability of a concrete communication software was analyzed and predicted by using these two models
摘要闡述了單指數平滑方法和雙指數平滑方法，並用這兩種可靠性模型對一通信軟體系統的可靠性進行分析預測。 -
Through comparing the prediction result with that of traditional software growth reliability models, it could be seen that the double exponential smoothing technique not only was simple without complicated computation but also was able to provide more accurate prediction
通過同傳統軟體可靠性增長模型的預測結果進行比較，可以看出雙指數平滑方法簡單，沒有復雜的數學計算，而且對通信軟體的失效行為的預測更加準確。 -
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。 -
According to the case that the macrocosmic system is nonlinear and lack of testing data, the improved forecasting methods are proposed such as fuzzy exponential smoothing forecasting, center approaching gray prediction and the local multiple regression fuzzy ( lmrf ) model based on takagi - sugeno fuzzy logical system. these improved methods are applied into the forecasting instances. the prediction accuracy of the stimulation result is testified and the improved forecasting methods are proved much better than conventional forecasting methods
本文從宏觀角度和基於區域交通流小樣本數據的實際情況，提出了改進的模糊指數平滑預測和中心逼近式灰色預測方法，建立了基於takagi - sugeno模糊邏輯推理的局部多元回歸模型（ lmrf模型） ，並進行了實例預測模擬，實例模擬結果表明改進的預測方法比傳統的預測方法精度提高了好多倍。 -
The application of the exponential smoothing method in the landslide treating engineering
指數平滑法在滑坡搶險工程中的應用 -
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。 -
And the forecasting effect of the exponential smoothing estimation method is very well. in the thesis, i combine the predict theory and the business cycle theory. through examination, confirm the model that predict accurately
本文創新之處在於將經濟預測模型引入到景氣理論中，並經過實證檢驗，確定了預測效果較為突出的模型。 -
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。 -
It simulates human ' s behavior in the process of conventional experiential quotation, and quantifies the useful information of a new die part and a series of correlative die samples accumulated in the foregone quotation experience by fuzzy membership, and then compares the similarity between the new part and the samples after computing their fuzzy level of approximation to find three of the most similar samples, based on which the producing cost of the new part is estimated by exponential - smoothing - method
本文提出的模糊相似比較法和工時法相結合的模具報價方法，就是模擬傳統的經驗報價中人的報價行為過程，利用模糊理論中的模糊隸屬度來量化新工件與原有的在以往生產實際中積累的一系列相關模具樣本的有用信息，計算它們之間的模糊貼近度，進行相似度比較，找出與新工件最相似的三個模具樣本，在此基礎上利用預測技術中的指數平滑法估算出新工件的生產成本。 -
Predetermination and application of linear exponential smoothing model
一次指數平滑模型預測法及實際應用 -
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。 -
We analyzed some examples and gave some helpful suggestions about the selection of parameter in the exponential smoothing methods ; 4
對指數平滑方法中參數的選取進行實證，並提出一些建議； 4 -
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。 -
Second, the meanings of the tolerance values of the fuzzy constraints in the fuzzy exponential smoothing model require further elucidation
第二，模糊指數平滑模式中的模糊限制式之容忍值如何取捨需進一步的解釋。 -
Through the comparison of several methods, it is prove that the seasonal exponential smoothing adjustment is a better method, and it has a high accuracy rating
由於集裝箱市場變化受季節影響較為明顯，通過對四種季節變動預測方法反復比較、檢驗，決定採用指數平滑季節調整法建立預測模型。 -
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。 -
The fuzzy exponential smoothing model has been used for short - term forecasting with a minimum of collected data or unknown system structure to determine a better extrapolative interval in a fuzzy set for an unknown future trend
摘要模糊指數平滑模式對于資料量稀少或系統結構模糊不清之問題，能求解吻合資料未來趨勢的外差模糊預測值，以成功求解未來不確定高的短期預測問題。 -
Widely used in forecast research recently, gray system theory is also adopted as one of the forecast methods, besides the two widespread methods of moving average and exponential smoothing in this field
本研究在預測方法的選擇，除了以業界常用的移動平均法與指數平滑法外，另納入近來廣為預測研究使用的灰色理論。 -
Therefore, in this study, in - depth examinations of fuzzy exponential smoothing model are carried out in order to elucidate the above two problems and to enhance the abilities of the fuzzy exponential smoothing model
因此，在此研究中，我們針對上述之二問題加以深度探討以提高模糊指數平滑模式的可應用性。
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