regression forecasting 中文意思是什麼

regression forecasting 解釋
回歸預測
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • forecasting : （勞動力供求）預測
  1. This paper is based on characteristics of transpacific shipping, analyzes its market features, and makes forecasting on container volumes and capacity of coming years with several methods employed which includes time series, regression method and so on

    本文還對中美兩國未來的運量，運力供給進行了詳盡的預測，同時還對中美箱量不平衡解決方案和集裝箱運價制定策略給予大量的篇幅。
  2. Therefore, a model of three sectors, respectively referring to domestic sector, manufacturing export sector and primary product export sector, has been established here to measure the technology spillover effects of export on domestic sector. finally, based on a broader framework, this dissertation went on to investigate the relationship between openness and china ' s economic growth, while the result shows that though there exists a notable dispute about how to measure the degree of china ' s openness, the index of trade dependence still maintains the better one to reflect china ' s economic openness. in the meanwhile, impulse response function ( irf ) method and forecasting errors variance decomposition ( fevd ) method, both of which are based on the vector auto - regression ( var ) system, are used here to investigate the dynamic relationship between openness and china ' s economic growth

    與傳統理論不同，新增長理論和新貿易理論都強調技術進步的作用，因此本文構建了一個三部門的技術外溢效應模型（國內部門、工業製成品出口部門以及初級產品出口部門） ，考察了工業製成品出口和初級產品出口對國內非出口部門不同的技術外溢效應；第四，從更加廣闊的視野就貿易開放度與中國經濟增長問題進行研究，有關貿易開放度如何度量一直是存在較大爭議的問題，本文首先對該類研究文獻進行了較為詳盡的述評，然後運用生產函數方法對所選取的5個貿易開放度度量指標進行了檢驗，結果發現盡管一些已有研究認為外貿依存度無法真實度量一國經濟開放水平，但是本文研究結果表明外貿依存度仍是度量我國貿易開放度的較好指標，進一步採用基於var系統的脈沖響應函數法以及預測誤差方法分解法對貿易開放促進經濟增長的作用進行了動態刻畫。
  3. According to all the sediment peaks of 35 floods observed at each station on the downstream of xiaolangdi, it analyzes the characteristic of delayed sediment peak and establishes a regression equation between sediment peak lag time for each section of xiaolangdi, huayuankou, jiahetan, gaocun, sunkou, aishan and lijin and peak discharge, sediment concentration of the peak, flood propagation velocity and fall velocity of suspended load of the previous station, which can search, make up and extend sediment peak lag time and provide a basis for accurate forecasting on sediment peak travel time of each station on the lower yellow river

    根據小浪底下游各站沙峰均滯後於洪峰的35場洪水，對沙峰滯後於洪峰的特性進行了剖析，建立了小浪底、花園口、夾河灘、高村、孫口、艾山、利津各河段沙峰滯后時間與上站洪峰流量、沙峰含沙量、洪水傳播速度、懸移質泥沙群體沉速之間的回歸方程，可以用來查補延長沙峰滯后時間，為下游各站沙峰傳播時間的準確預報提供依據。
  4. It is proposed that the fixed capacity investment and cargo discharge regression forecasting model and the optimal average information customer distribution model can be used to predict the cargo o - d distribution. the capacity limitation dynamic increment comprehensive network model can be applied to the prediction of the channel cargo transportation discharge and the turnover discharge in the main courses. the main courses network plan grade can be verified by the total cost method, and according to which the economic rationality of constructing different grade channels can be evaluated

    本文開展了平原水網地區航道網規劃方法的研究，提出了採用固定資產投資完成額與貨運量回歸預測模型；平均信息量用戶最優分佈模型預測貨物o - d的分佈；容量限制動態增量綜合網路配流模型預測干線航道貨物運輸量和周轉量；採用總費用法論證干線航道網規劃等級，據此評定建設不同等級航道的經濟合理性。
  5. Residential electricity consumption load forecasting based on dynamic clustering and partial least - squares regression

    基於動態聚類與偏最小二乘回歸分析的居民用電負荷預測
  6. The predecessors used to take regression analytical method and two - time exponential smothing while forecasting the handling capacity of port. on the basis of summarizing their experience, the article takes three - time exponential smothing and combinatorial technology

    前人在進行港口吞吐量的預測時，多採用回歸分析法和二次指數平滑法，本文在總結前人經驗的基礎上，採用了三次指數平滑法和組合預測技術。
  7. By forecasting the length of the elastic rope with linear regression anslysis, test vehicle ' s speed can be controlled acctrately

    用線性回歸統計的方法預測橡皮繩拉伸長度，精確地控制了開環狀態的試驗車的碰撞速度。
  8. 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。
  9. Alter calculating the residual loads with the latest 15 - day forecasting results and actual values, the weather factor can be taken account to improve the forecasting precision by regression analysis between the sensitive residual loads and temperature

    若將最近15天左右預測值與實際負荷值之間的差值，再通過各敏感點負荷與平均氣溫等作回歸分析，可以實現考慮天氣的負荷求導法。
  10. Based on the discussions of the conventional and recent methods of short term load forecasting such as time series, multiple regression approaches and artificial intelligence technologies, this paper presents a hybrid short term forecasting model which combines the artificial neural network ( ann ) and genetic algorithm ( ga ). in order to improve the convergence speed and precision of the back - propagation ( bp ), a new improved algorithm - the adapted learning algorithm based on quasi - newton method is given

    本文首先分析比較了電力系統短期負荷預測的傳統方法時間序列法和回歸方法以及最近的專家系統和神經網路技術的優點和不足，然後針對人工神經網路bp演算法的不足對其進行了改進，採用了基於擬牛頓的自適應演算法，它提高了網路學習效率，具有較快的收斂速度和較高的精度。接著提出了改進的遺傳演算法來改善神經網路的局部收斂性。
  11. This paper uses mathematics algorithm, to forecast the demand of natural gas and acquired some achievements. this paper makes an all - sided research for several commonly - use forecasting methods, such as time serial method, multi - variant regression method, gray system method, artificial neutral network method. the author analyzes merits and demerits of these methods and exerts these methods to forecast the demand of natural gas in sichuan

    本篇論文對幾種常用預測方法時間序列法、多元回歸法、灰色系統法、人工神經網路法等進行了全面的研究，分析了幾種方法的優缺點，運用了這幾種預測方法對四川省天然氣的需求量進行了預測，取得了比較好的效果。
  12. There are many methods to gas load forecasting, including : regression analytical method, time serial method, elasticity coefficient forecasting, index analytical method, grey method, fuzzy logic forecasting, artificial neural network forecasting model, experts system forecasting model, optimizing combination forecasting model, etc.

    用於燃氣負荷預測的方法很多，包括:回歸分析法、時間序列法、彈性系數預測法、指針分析法、灰色預測法、模糊邏輯預測法、人工神經網路預測法、專家系統預測法、優化組合預測法等。
  13. Following the requirement of the reservoir operation section of north - west electricity management bureau in developing a 10 day runoff forecasting scheme and considering the situation of no suitable forecasting model to serve the purpose, this thesis, from ge shouxi ' s and wmo ' s point, defined a group of standards which are practicability, information ability which means the ability of a model to adopt information contend in observed data, extension capacity and robustness, being used for evaluating performance of a forecast model and with them makes a comparison among systematic models as multi - regression model, generalized tank model, neural network method and system model of genesis ( in short smg ), and one conceptual model, the xinganjiang model

    針對西北電網水調部門提出的開發黃河上游徑流中長期預報軟體的任務，根據wmo和葛守西的總結，本論文利用四個系統模型和一個概念模型對黃河上游的龍、劉兩庫的汛期入庫徑流量進行旬徑流預報嘗試，並對所用的模型進行了泛化性、穩健性、模型結構、對水文信息反映和實用性及作中長期預報時何種系統模型的輸入最好作了比較研究，為龍、劉兩庫的徑流中期預報模型的採用提出了建議。
  14. Baced on the general circulation background, synoptic - climatological cause and external forcing predictor of rainfall of yunnan in may, the composite model of the long - term weather process of yunnan in may for rainfall and the optimum subset regression model of rank statistics applied for dryness and wetness forecasting are presented

    摘要根據影響雲南5月旱澇的大氣環流背景、天氣氣候成因以及外界強迫因子，提出了雲南5月雨量的長期天氣過程的物理概念模式和用於旱澇預測的秩序統計量最佳子集回歸模式。
  15. Based on the historical space forecast data and corresponding actual data provided by a global semiconductor assembly and test company, the uncertainty of space planning was defined. during this analysis process, linear regression, grey prediction, neural network back propagation algorithm and confidence interval were applied, respectively, to define the uncertainty. compared with those methods, the confidence interval of historical space forecast error, calculated by mathematical statistics, was the reasonable method to define the space forecasting uncertainty

    本文從半導體工廠長期生產能力計劃的頂層即廠房生產面積的計劃展開，對一跨國半導體封裝測試公司提供的廠房生產面積的長期歷史預測數據以及對應的真實數據進行分析，採用線性回歸，灰預測，神經網路bp演算法，基於數理統計的置信區間的求解等方法分別定義廠房生產面積預測的不確定度，經多種方法的比較得出，基於數理統計方法求解出的生產面積歷史預測誤差置信區間能直觀清楚地標定不確定度。
  16. Chapter two discourses the basic theory, calculation model and main advantages and disadvantages of regression analysis and time series analysis. chapter three discusses grey system theory in detail, including the basic theory, grey incidence analysis, model in common use and forecasting method. chapter four analyzes the results of flexibility deformation of 270 meters span continuous rigid frame bridge of humen bridge, calculated with regression, time series and grey system model

    第1章介紹了變形監測的目的、意義、分類以及變形分析與預測研究的現狀和進展；第2章論述了回歸分析和時間序列分析的基本理論、計算模型和主要優缺點：第3章詳細討論了灰色系統理論，包括建模的理論基礎、灰色關聯分析、常用模型和預測方法；第4章為採用回歸模型、時間序列模型、灰色系統理論模型，對虎門大橋270米混凝土連續剛構橋施工中的撓度變形進行的計算分析。
  17. Firstly, a coarse forecasting model based on only the primary influencing factor ( that is the weight of iron in matte ) is built using linear regression analysis, then, an error compensating model based on other influencing factors is built to improve the result of forecast

    首先應用線性回歸技術建立了僅考慮主要影響因素（銅統含鐵量）的粗略預報模型，而後，應用神經網路技術建立了考慮到多個次要影響因素的誤差補償模型，從而改進預報效果。
  18. Evidence suggests that the prognostic ability of the new model with high stability, when hidden nodes changing nearby input nodes and training times changing at the certain extent, is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information, properly utilizing the ability of ann self - adaptive learning and nonlinear mapping. but the linear regression technique only selects several predictors by the f value, many predictors information with high relative coefficients is not included. so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields

    進一步深入分析研究發現，本文提出的這種基於主成分的神經網路預報模型，預報精度明顯高於傳統的逐步回歸方法，其主要原因是這種新的預報模型集中了眾多預報因子的預報信息，並有效地利用了人工神經網路方法的自組織和自適應的非線性映射能力；而傳統的逐步回歸方法是一種線性方法，並且逐步回歸方法只是根據f值大小從眾多預報因子中選取幾個預報因子，其餘預報因子的預報信息被舍棄。
  19. Hereafter being the forecasting to the old age population coefficient, this text has been applied two kinds of regression model, namely univariate linear model and logarithmic model, and thought over three kinds of economic speed of development ( high, middle, low ) in the logarithmic model to forecast the old age population coefficient respectively. finally, by analyzing the forecasted value and the inertia law of population development, the paper points out the lengthening of the population equally expected life span will push forward the aging of population step by step to the advanced age development ; the development trend of the population aging continues to be clear, and just appears a stage characteristic ; furthermore, the population aging speed in rural area will be faster than in the city

    此後是對老年人口系數的預測，本文應用了兩種回歸模型，即一元線性回歸模型和對數擬合模型，並在對數擬合模型中考慮了經濟發展速度的高、中、低三種方案，對老年人口系數分別進行預測；最後在分析預測值和人口發展慣性規律基礎上對山東省未來人口老齡化發展趨勢作了較深入分析，指出人口平均預期壽命的不斷延長，將逐步推動人口老齡化向高齡化發展；人口老齡化繼續發展趨勢明顯，且呈現出階段性特徵；農村人口老齡化速度將快于城市。
  20. In this paper, we analyse the modeling method of multiple fuzzy regression forecasting model, and study its application in population dyn amics of 100 - plant - egg amount of the second generation of the corn bor er

    論述多元模糊回歸預測模糊的建模方法，探討該預測模型在第二代玉米螟百株卵量種群動態上的應用。
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