時間系列預測 的英文怎麼說

中文拼音 [shíjiānxìlièyùcè]
時間系列預測 英文
time series forecast
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  • 系列 : succession; series; bank; set; set family; train
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  1. In this article i do a lot of analysis for the data formed in the mobile samples with the basis of the research of data mining, mainly including : it analyses and summarizes the theory and technology of data, especially the further discussion of the data mining algorithm for time sequential. it introduces the course of the test curve of the power transmission system of electric mobile and discusses the technology and methods of pretreatment for curve data. it studies and develops the antitype system for the analyses of test curve data of the power transmission system of electric mobile with the mining and analysis of test curve data of the power transmission system of electric mobile and the basis of the algorithm of time sequential

    本文以目前數據挖掘的研究為基礎，對汽車樣品試驗中形成的大量數據進行分析處理，主要研究內容包括:分析和綜述了數據挖掘理論基礎和相關技術，特別是對時間序列挖掘演算法進行了深入的討論介紹了電動汽車動力傳動系統檢測曲線生成的基本過程，討論了曲線數據的預處理技術與方法以時間序列挖掘演算法為基礎，對電動汽車動力傳動系統檢測曲線數據進行了挖掘與分析，研究並開發了電動汽車動力傳動系統檢測曲線數據分析原型系統。
  2. Based on consider hereinbefore, this dissertation discusses several aspects on the problem of the sustainable and optimum exploitation of groundwater resources as follows : ( 1 ) reviewed entirely the origin and evolvement of the concept " sustainable development ", stated and commented the study status in queue on " sustainable development " around national and international range, thorough discussed the science connotation about the concept " sustainable development " ; ( 2 ) looked back and commented across - the aboard some furthest basic concept and proposition related to groundwater resources, put forward self opinions on a few existent mistake points of view and chaos understandings ; ( 3 ) expatiated entirely on the content and meaning of the theory of changeable groundwater resources system, contrast with the traditional methods of groundwater resources calculation and evaluation, combined example to show the application of this theory ; ( 4 ) thorough analyzed the difficult and complexity to forecast the groundwater resources, fully stated the traditional methods of groundwater resources forecasting, pointed out the characteristic and applying condition of these forecasting method, introduced the main ideas and methods of wavelet analysis developed recently, and the matlab software be known as the fifths era computer language, and its accessory wavelet analysis toolbox, applied these methods and tools to analyze the groundwater dynamic curve, adopted the b - j method and morte - carlo method, combined with the theory of changeable groundwater resources system, discussed the new view on the forecast of groundwater resources ; ( 5 ) synthetically analyzed the characteristics and limitations of the present all kind of groundwater manage model, combined mathematical programming mathematical statistics random process and the theory of variation system of groundwater resources on the unite optimum attempter of surface water and groundwater, emphasized how to make the model more nicety, more simple, more practicality ; ( 6 ) analyzed the inside condition and outside condition to assure the sustainable and optimum exploi tation of groundwater resources, the inside conditions are the follows : correct resources idea, scientific methods of resources calculation and evaluation, credible forecast methods of resources, exercisable measures of resources management, the outside conditions are the follows : the development idea of high layer, the transform of manage system, the matched policy and rule of law, the adjusted of economy lever, the improve of cultural diathesis, the boosting up of water - saving consciousness and detail measures, the control of population rising, the prevention and cure of water pollute, the renew and rebuild of ecology ; ( 7 ) scan the sustainable and optimum exploitation of groundwater resources from the high level of metagalaxy, earth system science, and philosophy ; lint out the more directions on groundwater resources

    基於以上考慮，論文主要從以下幾方面對地下水資源可持續開發問題進行了比較深入的探討：全面回顧了「可持續發展」概念的由來與演變，對國內外「可持續發展」的研究現狀進行了述評，並對「可持續發展」概念的科學內涵進行了深入探討；對涉及地下水資源的一些最基本的概念和命題進行了全面的回顧和評述，對目前仍然存在的一些錯誤觀點和混亂認識提出了自己的見解；全面闡述了地下水資源變值系統理論的內容和意義，並與傳統的地下水資源計算評價方法進行了對比分析，結合實例具體說明了方法的應用；深入分析了地下水資源預測預報工作的極端重要性和復雜性，對傳統的地下水資源動態預測方法進行了全面的評述，指出了各類預測預報方法的特點及適用條件，對最近二十多年剛發展起來的小波分析技術的主要思想和方法及其應用范圍，以及號稱第五代計算機語言的matlab軟體和附帶的小波分析工具箱進行了介紹，並應用於地下水動態過程線的分析，採用時間序列中的b ? j法，蒙特卡羅方法，與地下水資源變值系統理論相結合，探討了地下水動態資料分析和地下水資源預測預報的新思路；綜合分析了現今各類地下水管理模型的特點及缺陷，將數學規劃、數理統計、隨機過程等與地下水變值系統理論相結合進行地表水地下水或多水源的聯合優化調度，使模型更準確、更實用；對保證地下水資源可持續開發的內部條件和外部條件進行了分析，內部河海人學博卜學位論文前言、摘要、目錄條件主要是正確的資源觀，科學的資源計算與評價方法，可靠的資源預測預報技術，可操作的資源管理措施，外部條件主要是高層發展思路、管理體制的變革、配套的政策法規、經濟杠桿的調節、人文素質的提高、節水意識的增強及具體節水措施、人口增長的控制、水體污染的防治、生態的恢復和重建等;從宇宙科學、地球系統科學及哲學的高度審視地下水資源的可持續開發;指出了地下水資源可持續開發的進一步研究方向。
  3. Conventional nomograms representing parametric relationships among wave height, wind, fetch and duration are used in operational forecasting of sea state

    在業務運作上應用傳統列線圖里的海浪高度風速風區及風力的持續時間等參數之間的相互關系來預測海面情況。
  4. In this study, the model emphasizes particularly on time series of geological entity and at the same time it realizes the integration of the spatial model and the attributive model by integrating complicated spatial and attributive character of forest resources. program is realized by matlab. the ann toolbox of matlab established many tool functions based on ann theory

    本項研究中，基於gis的神經網路預測模型主要側重的是地理實體數量時間結構序列，模型結合森林資源復雜的空間和屬性特徵，不僅使用了gis關系數據庫中的屬性時間序列值，同時也使用了一定的空間模型，實現了空間模型與屬性模型的有效結z 、口0在程序的實現上採用m八tlab開發環境，其中的神經網路工具箱以人工神經網路理論為基礎，構造了網路分析和設計的許多工具函數。
  5. Based on reconstruction of phase space of dynamical system, we research the divinable capability of time series from the point of view of nonlinear dynamics by constructing recurrence plot

    在動力系統的相空間重構基礎上，通過構造遞歸圖，從非線性動力學的角度研究了時間序列的可預測性。
  6. Meanwhile, adjusting and optimizing the structure of investment distribution on education should be given attention. the innovation of this article are rest with : 1 ) applying granger causal relations methods to test causal relationships between education investment and economy growth ; 2 ) using time series data to built econometrical model, emphasizing education investment ' s long term feature ; 3 ) projecting future developments by arima model

    本文主要創新點在於: （ 1 ）利用格蘭傑因果關系檢驗確定教育投資與經濟增長之間的因果關系; （ 2 ）利用時間序列數據進行建模時，著重體現了教育投資的長效性這一重要的特殊性質; （ 3 ）利用齊次非平穩過程的arima模型對我國未來教育投資進行了預測。
  7. In summer, load is affectd by meteorological elements greatly. based on multidimension time series approach, the car model is constructed, which could take account into the accumalated influence from temperature and inertia action from historic load, meanwhile, the advantage of the model is that its expreaasion is in the form of apparent function, which could provide us some quaqutive imformation existed between input variable and output variable

    本文以多維時間序列分析方法為基礎，成功地解決了未來日負荷與前些日負荷慣性變化的影響，以及氣象累計效應的影響顯性函數關系問題，從而為負荷預測人員掌握未來負荷與歷史負荷，歷史氣象要素與當日氣象條件之間的規律，提供了量化的分析基礎。
  8. In the study of quantitative forecast models, composition analysis for three different time series are firstly investigated by statistic test methods. the conclusions are as follows : there is no evident tendency for above three series, and evident periodicity exist only in precipitation series

    在定量預測模型研究中，先對三個不同系列進行時間系列的組成分析，結果表明：三個系列均無趨勢存在，降水量系列有明顯周期存在，但年最高潮位系列無周期。
  9. For the dynamic process of ship rolling movement, this paper analyses its dynamic date with time series analysis method and brings up this system ' s the most excellent autoregressive model ( ar model ) according to least aic criterion ( akaile, information criterion ). it reveals the regular pattern of ship rolling movement and forecasts the future value of roll angle and pitch angle, then transforms it to adjusting value of object and adjusting it according to appropriate control rules

    對于船舶搖蕩運動這一動態過程，採用時間序列分析的方法，建立系統的自回歸模型（ ar模型） ，並根據最小aic信息量判定準則保證建立的系統模型為最優化模型。利用參數模型的方式對船舶橫搖、縱搖運動的動態數據進行分析處理，揭示船舶搖蕩運動的規律，預測船舶橫搖角、縱搖角的未來值。
  10. The author insists that the proposition on bmp contains numberous precondictions, the reference values of the qulitative papers are limited as they cannot answere exactly what on earth the bmp is. so this dissertation systematically studied the bmp of china according to the clue of monetary supply which is the immediate target of monetary policy. of course, the stress is to attempt to apply the newest econometric approaches, such as impulse response function and cointegration test, to develop the topic on bmp to a new regime and draw some valuable conclusions

    因此，本文在國內外學者已有的研究基礎上，以我國貨幣政策的中介目標? ?貨幣供應量為線索，就有關我國貨幣政策的宏觀調控效果進行了系統的理論與實證研究，重點是應用國外時間序列經濟計量學的最新研究成果，如脈沖響應函數、預測方差分解模型等進行探索性地定量分析，並得出有價值的實證結論。
  11. Based on the forecasting theory of the optimization weighted array, an optimization weighted array model with a runoff response linear model and a time sequential model is developed to predict daily runoff, and the optimal weighting coefficients are derived by the least square method

    摘要根據最優加權組合預測原理，建立了徑流響應線性模型和時間序列模型的優化加權組合模型，以預測日徑流，依據最小二乘法原理確定其優化加權系數。
  12. Based on this, the traditional model of time series analysis and gray system theory that is developed recently are established to forecast. and an exploring is carried out applying the function of step that the 3d - flac software offered. this will provide material of dynamic and timely landslide forecast for engineering practice and scientific research

    在此基礎上，本文運用傳統的時間序列分析方法和近年來發展起來的灰色系統理論建立了預測模型；並利用3d - flac軟體提供的時步（ step ）功能在研究庫岸滑坡的動態預報上做了探索。
  13. 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。
  14. At last, compared the three data extention technologys merits. the time - series based and neuron network based data extention methods were proposed. chapter four studied the improvement of the emd algorithm al efficiency and precision. reserthed the effect of spline interpolation ' s end condition to the emd algorithm ' s precision, then discussed the low - order and propoed high - order spline interpolation based emd algorithm and their effects

    第三章介紹了emd演算法端點效應的機理；然後系統地研究了直接信號序列延拓技術、基於時間序列預測和基於神經網路預測的數據序列延拓技術的特點及性能；最後，對各種延拓技術進行了比較研究，分析了各種延拓技術的優缺點。
  15. Consequencely, the analysis and assessment system of the operating state of the concrete dam was developed under the ansys development environment, and the back - analysis and the prediction of the parameters of the dam system have been done according to the operating observed data. the research work involves several aspects as follows : 1 ) a back - analysis model including the prior information and a predictive model of nonlinear time series were established ; 2 ) the analysis and assessment system of the operating state of the concrete dam was developed under the ansys development environment, in which the analysis module of the loading effects, the back - analysis module, the forecasting module of the physical parameters and the assessment module of the operating state were contained ; 3 ) according to the operating observed data, the operating state of the dam was assessed and predicted with the analysis system of the operating state, the results suggested that the dam is in basically normal operation at present

    具體工作有以下幾方面： 1 ）收集整理漫灣水電站大壩運行監測資料，並對其進行了系統分析，從觀測資料本身直觀的分析了大壩的運行狀況； 2 ）總結位移反分析的理論及方法，建立了考慮先驗信息多介質位移反分析模型，基於神經網路非線性映射功能，建立了神經網路時間序列預測模型； 3 ）以ansys軟體為平臺，開發了漫灣水電站砼重力壩運行狀態評價模塊，結合荷載效應分析、參數反演分析、參數預測分析三個模塊組成漫灣水電站砼重力壩運行狀態分析系統；實現了對漫灣水電站運行狀態的動態「反演-預測」分析； 4 ）利用漫灣水電站砼重力壩運行狀態分析系統，在漫灣大壩實測資料分析、大壩砼特性參數反分析、大壩砼彈性模量衰變規律及預測分析的基礎上，系統的分析並預測了大壩運行狀態。
  16. The measurement model is made up of strategic ability, technologic ability, managerial ability, core marketing ability, and so on. the model is established from the storage, the quality and the value three aspects. and then it is helpful to describe the comprehensive strength in quantization, which will help the enterprise to know its own comprehensive strength precisely

    本論文首次提出了對企業綜合實力進行量化描述的系統構思，而且從企業戰略能力、組織管理能力、核心技術能力、人力資本實力、信息應用能力、市場營銷能力、國際化水平等幾個評價維度，從存量、質量、價值等幾個層面，從現實實力及其發展趨勢，首次建立了企業綜合實力的測度模型，並運用模糊綜合評價、時間序列預測模型、模糊聚類等多種方法建立測算方法，從而量化地描述一個企業的綜合實力。
  17. Introduced the principles and methods to forecasting chaotic time series, and using the volterra series to model nonlinear dynamic systems

    從動力學系統角度出發闡述了非線性混沌時間序列預測的原理和方法。研究了volterra級數用於表徵非線性系統。
  18. Stock market is a complex non - linear dynamic system. it is very difficult to develop the inherent rules using the traditional timing prediction technology

    股票市場是一個復雜的非線性動態系統，利用傳統的時間序列預測技術很難揭示其內在的規律。
  19. This paper discusses the structure of time series forecast system, algorithm design and analytic method of results

    文中簡要介紹電信行業時間序列預測系統的結構設計，演算法設計以及預測結果的分析方法。
  20. The research results show that neural networks have good performance in prediction, which providing an effective approach for highly nonlinear and dynamic time series forecasting

    研究結果表明，神經網路用於預測效果好，為一類高度非線性動態關系的時間序列預測提供了一條有效途徑。
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