指數型平滑 的英文怎麼說
中文拼音 [zhǐshǔxíngpínggǔ]
指數型平滑
英文
exponential smoothing-
The paper uses the methods of determining the nature and quantity. the sea coal quantity is forecasted by the index - smoothness method based the demand of the future coal market and distributed by the proportion of different transportation modes of the coal input areas and the economical principle, evaluate the capacity, the equipment and the facilities of the coal harbors, establish the evaluation model and index, and research the capacity and countermeasure of the coastal coal harbors based the forecast of the coal production and consumption market by the system principle
本項研究採用定性與定量向結合的方法；煤炭海運量預測以未來煤炭市場需求預測為依據，按照主要煤炭調入地區運輸方式的分配比例，並根據煤炭運輸的經濟性和合理性原則，採用指數平滑預測方法進行預測；對港口通過能力和設施、設備的利用情況進行定量評價，並建立相關的評價模型和評價指標。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。Chapter iii tries to establish the mathematic model of daily gas consumption forecasting, focusing on the introduction of index smooth forecasting theory and determining the reasonable flatness constant
第三章，建立了日用氣負荷預測的數學模型，重點介紹了指數平滑預測理論，確定了合理的平滑常數，進行日用氣負荷預測，用歷史統計數據與預測結果進行對比分析。Secondly, the identification algorithms of road traffic status are studied including methods of determining floating car sample sizes which are based on “ the relationship between floating car sample sizes and accuracy of traffic information detection ” and “ the relationship between floating car sample sizes and requirement of road network information detection ”. the road traffic identification algorithm grounded on the journey - time is analyzed. besides, road traffic identification algorithm based on average speed is put forward and the validity of these two methods is analyzed in the thesis
主要工作包括:從「浮動車數量與交通流信息檢測準確性關系」 、 「浮動車樣本數量與路網全方位信息檢測需求關系」兩方面對浮動車數量確定方法進行研究，給出了演算法模型;同時，分析了基於行程時間的道路交通判別演算法，提出了基於指數平滑法的平均瞬時速度道路交通判別演算法，並對兩種演算法的有效性進行分析比較。Using vogel ' s wear index as the rail side wear index, the paper analyzes the side wear variations of rail head when the parameters in the wheel / rail system vary, analyzes the influences of track irregularity on rail uneven wear on gauge corner emphatically. this paper analyzes the rail side wear dates measured by track division of shan hai guan since 1990, then gains the relationship between side wear and traffic volume and sums up the characteristics and regularities in the formation and development of side wear. in the end, some measures for regarding the side wear on curves are put forward
從輪軌摩擦、輪軌接觸幾何關系、輪軌接觸應力和輪軌蠕滑等方面對鋼軌側面磨耗機理進行了探討，從軌道幾何參數、機車車輛運營條件等方面對鋼軌側面磨耗的影響因素進行了重點分析和總結；應用輪軌系統動力學，建立了輪軌空間耦合振動時變模型，採用vogel側磨指數作為鋼軌側磨指標，系統分析了輪軌參數變化的情況下，軌頭側面磨耗的變化規律，重點分析了軌道不平順對鋼軌不均勻側磨的影響；對山海關工務段1990年以後現場測得的曲線鋼軌側磨數據進行了分析，通過擬合得到了鋼軌側磨量與運量的關系曲線，並總結了曲線上股鋼軌側面磨耗的特徵和發生、發展規律；最後提出了一些減緩曲線鋼軌側面磨耗的措施。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。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。The paper analyze many methods of water demand prediction which include many up to date methods and some in common use, and it bring forward some new combinatorial methods which can meet the need of optimization model in precision, such as season exponent, auto adapt filter, season exponent combined grey model, etc. based on the cost and time of modeling jt mainly study the macroscopic network model which describes the correlation between nodal pressures and water plant discharge
針對時用水量預測模型，採用季節指數法、自適應指數平滑法、季節指數聯合自適應過濾法、指數平滑聯合自回歸法、季節指數聯合灰色系統法等具體預測方法，其中數種方法預測精度達到工程要求。實踐結果表明，開發的聯合法效果較好。考慮到管網宏觀模型不但能描述整個管網的工作狀態，而且建模所需成本低，運行速度快，省時省力，主要研究了管網宏觀模型的建立方法，分析測壓點布置原理並編製程序。2. in the fourth chapte of this paper, the coupling forecast model of gray - multiple regressive analysis is founded
利用該模型對江蘇省全社會用電量進行了預測，結果表明，該模型的預測精度比指數平滑預測法和gm （ 1 ， 1 ）模型都有了顯著提高。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。At the same time, built the data warehouse system with the sale subjects as the example, built an many - dimensions database using the online analysis tool of microsoft sql sever. finally built a two linear forecasting models based on smoothing of time queue about analysis of sale trend, and verified the design analysis of this paper partly
同時，建立了以商品銷售主題為例的數據倉庫系統；並藉助microsoftsqlsever聯機分析工具，建立了以商品分析主題為例的多維數據庫，從不同視角展現不同匯總程度的數據；最後，建立了基於時間序列的二次指數平滑線性預測模型，進行商品銷售趨勢的分析，部分驗證了本文的設計分析。The problems of inventory control comprise the forecast of material annual requirement, optimal order time and order number and the analysis of material abc, and mathematics models involve variant index trend, order number and fuzz complex judge etc. finally, this papers gives the requirement analysis and system design of inventory management system, and develops the software of inventory system
庫存控制問題主要研究了物資年需求量的預測、最佳訂貨點及訂貨批量的研究、物資的abc分析等問題，數學模型重點探討了可變平滑參數的指數平滑法、訂貨批量法以及模糊綜合評判法等。最後，本論文對庫存管理系統進行了需求分析和系統設計，並給出了軟體的具體實現。Single exponent smoothness model fully embodies the characters of trend and cycle of the continuous varying power load, but it can not think about the effect of the weather elements carefully
一次指數平滑模型充分體現了負荷連續變化的趨勢性和周期性，但是沒有詳細考慮天氣因素對負荷的影響。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。After study of the combined forecasting methods based on the ann theory, it is put foreword that exponential - smooth ( es ) and ann combine a new prediction algorithm
並且對基於神經網路的組合預測方法進行了研究，提出了一個神經網路和指數平滑模型組合運用的預測演算法。Predetermination and application of linear exponential smoothing model
一次指數平滑模型預測法及實際應用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。On the thesis, the author forcast the later five and ten years " importation of china by means of linear programming and third exponent smoothing. the outcome shows china still increase her lpg importation in the future to satisfy her demanding to lpg, all these provide prosperous future for lpg transportation
本文採用一元線型回歸和三次指數平滑兩種定量方法，對中國液化石油氣今後五年及十年的進口量進行預測，結果顯示中國未來仍將以較高速度增加進口量以滿足中國未來對液化石油氣的需求，為發展液化石油氣海上運輸提供了良好的市場前景。分享友人