time series regression model 中文意思是什麼

time series regression model 解釋
時間序列回歸模型
  • time : n 1 時，時間，時日，歲月。2 時候，時刻；期間；時節，季節；〈常pl 〉時期，年代，時代； 〈the time ...
  • series : n 〈sing pl 〉1 連續；系列。2 套；輯；叢刊；叢書。3 【生物學】區；族。4 【植物；植物學】輪；列；...
  • regression : n. 1. 復歸，回歸。2. 退步，退化。3. 【天文學】退行。adj. -sive ,-sively adv.
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. Thus this paper puts forward the dynamic time series period analysis and prediction model. it combines the basic principle of the stepwise regression period analysis to the multiplayer - transfer method. it can not only effectively select every latent period of a time series, but also take advantage of the selected latent periods to make a long - term prediction

    因此本文提出了動態時間序列周期分析預測模型，它是將多層遞階方法與逐步回歸周期分析的基本原理相結合，使之既可以有效地選取時間序列的各個隱含周期，也可以利用所選取的隱含周期作較長的時間預測。
  2. In order to grasp the urban system processes and evolution pattern of hunan province comprehensively, this article has made further discussion on its structure characteristic : through regression analysis, graph analysis and statistics analysis of the time series data and cross sections data, by combining with the fractal theory, we induce the following conclusion : the hierarchical size structure presents the law of the primate city, the rank - size rule and pyramid structure characteristic, but it also has the insufficient development problem of the high hierarchical size city. by using the gravitation model, we found out that the economy relation intensity among those main cities is weak while the structure is loose. based on the urban layer system of economic development level and industrial structure evolution of the cities in hunan province, this article then induces the function combination among the five urban agglomerations in hunan province

    為全面把握湖南城市體系的運演規律，本文對其結構特徵作了進一步的探討:通過時序數據和截面數據的回歸分析、圖表分析和統計分析，結合分形理論，得出了其等級規模結構分佈呈現出首位分佈、位序?規模分佈和金字塔結構特徵，以及存在著高層次城市發展不足的問題;運用場引力模型發現該省主要城市間的經濟聯系強度較弱、結構鬆散，在歸納出該省城市經濟發展水平的層次體系、產業結構演變的基礎上，導出了該省城市體系的五大城市群職能組合;結合空間結構體系、路網交通條件和經濟發展狀況，對該省城市空間分佈狀態進行了定性分析，研究表明該省總體上處于極化階段，各個具體區域，分佈階段不一，差異較大。
  3. In rsdm, binary patterns are replaced by real - valued patterns, accordingly avoiding the coding process ; the outer learning rule is replaced by regression rule, therefore the model has not only the ability of pattern recognition but the ability of function approximation. the prearrangement of the address array bases on the distribution of patterns. if the distribution of patterns is uniform. then the address array is prearranged randomly, otherwise predisposed with the theory of genetic algorithm and the pruneing measure so as to indicate the distribution of patterns and improve the network performance. non - linear function approximation, time - series prediction and handwritten numeral recognition show that the modified model is effective and feasible

    在rsdm中，以實值模式代替二值模式，避免了實值到二值的編碼過程：以回歸學習規則代替外積法，使該模型在具有識別能力的同時具有了對函數的逼近能力；地址矩陣的預置根據樣本的分佈採取不同方法，若樣本均勻分佈，則隨機預置，否則利用遺傳演算法的原理和消減措施來預置地址矩陣，使之反映樣本的分佈，改善網路的性能。
  4. 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。
  5. Inside the scope of the defined it plate, according to the theoretic mode which describes the relationship of the scale of the stock market and the incensement of economy, the paper establishes a time series regression model. in the regression equation, the independent variables are numbers of broad sense chinese it listed companies ; the dependent variables are added values of it industries

    在界定完成的信息技術板塊范圍之內，參照股市規模與經濟增長關系的理論模式，本文建立了以廣義信息技術產業上市公司數量為應變量，以該產業增加值為解釋變量的時間序列回歸模型，所取的時間截面為1992 ? ? 2000年。
  6. Adopting the actual county - grade database of land use firstly founded in china, combining with the comprehensive influential factors of land use change, using the correlative statistic software and the mathematic analytical methods ( principal component analysis, gray relating analysis, multivariate time series markov chain analysis, multivariate regression analysis, gm ( 1, 1 ) gray model, gray series gm ( 1, n ) model methods etc ), this paper analyses the dynamic change of land use and driving force in jiang ' an county qualitatively and quantitatively. the results indicate : 1 the land resource per capita and the area of single - land - use type in jiang ' an county are not prior to other places in yibing city or sichuan province. however, the terrain is dominant in choosing the way of land use

    本文採用全國首批建立的「縣級土地利用現狀數據庫」的基礎數據，結合影響土地利用變化的經濟、社會、環境等綜合因素，採用相關分析軟體（ dps 、 spss ）和數學分析方法（主成分分析、灰色關聯度分析、多元回歸分析、多元時空序列馬爾柯夫鏈分析、 gm （ 1 ， 1 ）預測模型分析、灰色序列gm （ 1 ， n ）模型分析等方法） ，對江安縣土地利用變化及其驅動力進行定性、定量研究，研究結果表明： 1江安縣人均總的土地資源數量和單一土地利用類型的數量在宜賓或四川省區域內均無優勢；地形對土地利用方式的選擇起著主導作用；土地利用變化的總趨勢是：耕地、林地、交通用地和水域面積不斷減少，居民點及工礦用地和未利用地面積不斷增加；景觀多樣性指數呈現「 」趨勢。
  7. 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。
  8. In this paper, subjects mainly focused are as follows : to meet with the requirement of forward business and the establishment of mid - long term generation planning of hydroelectric plant, the yearly runoff and the monthly runoff are studied in this paper, providing many kinds models that suited to min - long term runoff forecast, including the time series analysis, the nearest neighbor bootstrap regressive model, the grey topological model, recession curve model, threshold auto regression, mean generating function, and ann model etc. the forecast result proves that these models are useful

    本文從以下幾方面進行了較為深入的研究： （ 1 ）為了滿足水電廠的期貨交易及編制水電站中長期發電計劃的需要，本文對年、月徑流預測進行了研究，提出了徑流中長期預測模型，包括：時間序列模型、最近鄰抽樣回歸模型、灰色拓撲預測、退水曲線模型、門限自回歸模型、均生函數模型及神經網路模型等，從預測成果來看，效果較好。
  9. In this paper. flow properties of multistage fluidized - bed bioreactor with external circulation at a pilot scale is studied. according to characteristic analysis, the model of completely mixing reactor in series is introduced to characterize real reactor as a theoretical model. on the basis of analog computing analysis and discussion of theoretical model. by means of pulse tracer method, experiments on residence time distribution ( rtd ) have been done in different conditions including the change of tracer level, feeding flow rate and circulation flow rate. the result shows when the ratio of circulation flow rate and feeding flow rate amounts to at least 4, the flow properties of multistage fluidized - bed bioreactor with external circulation at a pilot scale is very close to the model of completely mixing reactor in series. an amendatory model has been established by the regression method

    作者首先在對反應器進行特徵分析的基礎上，建立了描述中試規模多級外循環流化床生物反應器流動特性的串級全混流模型，並對理論模型進行了模擬計算分析和討論，在此基礎上，作者分別在無循環和有循環（改變示蹤劑用量、流加流量和循環流量）的條件下，利用脈沖示蹤法對一到五級串聯外循環流化床反應器進行了停留時間分佈實驗，結果表明，在循環流量與流加流量的比值達到大於等於4時，中試規模多級外循環流化床反應器的流動特性接近串級全混流模型，通過數據回歸擬合的方法，建立了中試規模一到五級串聯外循環流化床反應器的流動模型。
  10. We have combined qualitative analysis and quantitative analysis to foresee the market size. firstly, we found the relative factors influencing the truck market through qualitative analysis and picked up several main factors by quantitative analysis, such as highway mileage, social fixed assets investment capital and consumption expenditure, etc. secondly, we set up four models by using those factors. the four models are a time series model, a multiple regression model, a factor regression model and an integrated model

    首先，通過定性分析找到了影響我國載貨汽車保有量的相關因素，接著又進一步進行定量的分析，從而確定了公路里程數、基本建設固定資產投資額和我國社會消費支出額等為主要影響因素;然後，利用前面的分析結果構造了三個模型，即時間序列模型、多元回歸模型和因子回歸模型，並綜合幾個模型的優點建立了一個綜合的預測模型，這一部分也是全文的重點部分;最後，分析比較了各模型的優劣並給出了每個模型的適用情況。
  11. On the basis of analyzing historical water consumption in shenzhen, hourly water demand, daily water demand and annual water demand are studied using non - linear regression model, time series model, artificial neural network, gray model and compounding model, etc. by anglicizing merits and demerits of every model in different forecasts, time series model is appropriate to hourly water demand forecast ; compound forecasting model of time series and regress analysis is appropriate to daily water demand forecast ; gray model and regress analysis model is appropriate to annual water demand forecast

    本文通過分析深圳特區用水量的變化規律，採用非線性回歸分析、時間序列、人工神經網路、灰色模型和組合預測模型分別對時需水量、日需水量、年需水量進行了研究。通過比較分析各種模型在不同預測類型中的優缺點，時需水量預測較適合採用時間序列模型；日需水量預測較適合採用時序?回歸分析組合預測模型；年需水量預測較適合灰色模型、回歸分析模型；提出了指導選擇城市需水量預測模型的方法。
  12. The simulated results verify forecasting accuracy of this model is superior to traditional time series method or linear regression model. as a result, this method presented in the paper can use in predicting the fact order data

    實驗結果顯示，二階段協同訂單預測模型無論在4周、 8周或11周的預測績效皆優于傳統時間序列或一般線性回歸模型，因此，該模型可作為cpfr流程下欲進行協同訂單預測或一般訂單預測的參考。
  13. The main research contents include : 1 、 this paper constructs the mixed collaborative sale forecasting model based on cpfr via integrating time series forecasting, multivariate regression and ridge regression. in addition, the model takes sale information as explanation variable

    具體研究內容包括: 1 、將時間序列預測、多元回歸、嶺回歸相結合，並將銷售信息作為銷售量的解釋變量，構建了cpfr流程下的混合協同預測模型。
  14. A large part of its study is based on statistic analysis, such as regression and time series method which have a broad application in forecasting model

    其中有相當大一部分是建立在統計分析的基礎上的，如預測模型中應用較廣泛的回歸和時間序列的方法。
  15. This dissertation deals with how to estimate parameters of a model of multivariable weak stable auto - regression equation on time series ( marked by ar ( p ) ) and formulizes properties of them

    本文系統地研究了多元弱平穩序列自回歸模型ar （ p ）的參數估計方法及性狀。
  16. Abstract ： this paper analyzes casualty relation between residence products ' price systems based on the time series data ， calculates residence market products structure ' s diverse influence strength to housing price through building multi - linear regression model based on cross sectional data

    本文通過時間序列數據分析住宅產品價格體系之間的因果關系，利用截面數據建立多元計量模型量化住宅市場產品結構對房價的影響力度。
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