時間序列法 的英文怎麼說

中文拼音 [shíjiānxùlièfǎ]
時間序列法 英文
time series method
  • 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...
  • 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...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 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...
  1. Based on the characteristic of fractured signal, time series analysis can detect the distribution of fractures. because of excellent antinoise ability, in high - order statistics theory, the theory of time series analysis includes more information and resolves more problems than second - order statistics

    時間序列分析法具有很好的抗噪能力，主要採用了高階統計量的方法，它比以前廣泛應用的二階統計量的方法包含了更多的信息。
  2. 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。
  3. So it is initiative and instructive for the future application of the temporal interferometry on the analysis of the vibration. in the study of the dynamic mechanical behavior of the ballistite material, the material ' s creep curves and the creep velocity curves are successfully obtained using tspm, and whole field displacement distributions

    將時間序列散斑干涉計量方法引入材料蠕變特性的研究在國際上尚屬首次，該研究對于將來材料力學性能的研究又提供了一有力的分析工具，並為以後該領域的研究提供了有力的理論和實驗依據。
  4. A lot of engineering applications are carried out using our proposed method in this paper, such as thermal deformation measurement of a car lamp, analysis of the super low frequency harmonic vibration of a piezoelectric ceramic, dynamic mechanical behavior analysis of the ballistite material and so on

    在前面所提出的理論基礎之上，本文對該方法在實際工程中的應用做出了大量的工作。本文利用時間序列法實現了汽車前燈配光鏡的熱變形檢測、壓電陶瓷片的超低頻振動分析以及火箭固體燃料的動態力學特性研究。
  5. We describe the meaning of chaos > future idea of chaotic theory and influence on forecast ; introduce the character of chaotic time series, and point out the problem and shortage of the methods already existed computing character value which are fractal dimension and the largest lyapunov exponent and improve on it ; present the forecast principle of forecast method based on chaotic attractor, and point out the shortage of local field forecast method based on chaotic attractor and bring forward improved on methodo at the same time, we put forward a banausic algorithm and compare two models using practical example

    論述了混飩的含義與混淪理論的未來觀及其對預測的影響；介紹了。混飩時間序列的特徵，指出了己有的計算分形維及最大李雅譜諾夫指數這兩個特徵量的方法存在的問題與不足，並對此進行了改進；給出了基於混飩吸引子的預測方法的預測原理，指出了常用的基於混燉吸引子預測的局域法的不足並給出了改進方法，同時，給出了其實用演算法，並用實例進行了比較。
  6. ( 2 ) it explains the basic concept of time series, some kinds of the common time series models and the development characteristics of time series in detail. it analyses how to judge the model from the self - related function and the deviation related function. determining a better standard to set up models from the comparison of some kinds of fixed step time series standards, then predicts utilizing the counter function

    （ 2 ）詳細闡明了時間序列的基本思想、幾種常見的時間序列模型以及時間序列的動態特徵，分析了如何利用自相關函數和偏相關函數來對模型進行判定，通過對時間序列的幾種定階準則的比較，確定一種好的定階準則來建立模型，從而可以利用逆函數法進行預報。
  7. An optimized algorithm for mining association rules in hydrological time series is proposed on the foundation of the analysis of variance ( anova ), contingency table test and the new definition of interestingness

    摘要基於方差分析、列聯表檢驗以及興趣度的定義，提出一種挖掘水文時間序列關聯規則優化演算法。
  8. We ca n ' t divide the multiple streams time series into singleness times series simply in the research of multiple streams time series, we ' ll dissever the relation between the events of the multiple streams. although the msdd can find the dependency relationship of multiple streams, but it have n ' t the initialization of the events, the express of the time relationship between events is not frank, the cost of the algorithm is expensive ( o ( n5 ) ), i ca n ' t find much more knowledge in multiple time series, it find the dependency patterns only of the multiple time series, so there need a new more effective, frank, complete algorithm to find the knowledge

    研究多流時序不能簡單地將它割裂為單流時序，因為這樣就割裂了數據流事件之間的關系。雖然msdd能夠發現多流時間序列中的依賴模式，但是由於其缺少對數據的初始化、事件之間時間關系的表示不直觀、演算法執行的時間空間開銷很大（ o （ n ~ 5 ） ） 、不能夠充分發現多流時間序列包含的知識，它只發現依賴關系，因此研究新的，高效，全面的發現多流時間序列事件之間關系的演算法成為必要。本文分析了單一和多流時間序列中的知識發現，把多流時間序列事件內部存在的關系表示為：關聯模式、依賴模式、突變模式。
  9. In this thesis, flow regime identification and malfunction diagnosis of fluidization were studied with fractal technology, the presented methods for both flow regime identification and malfunction diagnosis were proved of effectivity. main achievements are as following : 1. fractal brownian motion ( fbm ) was made from gauss noise and compared with pressure fluctuation signal of gas - solid fluidization, which demonstrated the similarity between the fbm and the signal

    在通過fbm （分數布朗運動）數據模擬證明了氣固流化床壓力波動信號與分數布朗運動是相似的基礎上，提出了用分數布朗運動來模擬氣固流化床壓力波動信號，並採用r s分析法從信號時間序列中提取出hurst指數，通過分析信號hurst指數值對流化床流型和結塊故障進行了研究。
  10. So we consider five financial indexes includes stock b / p, e / p, current stock size, current stock stru and financial levge by the international tradition, then descriptive statistical test method and cross section statistical test method proved that b / p and current stock size have marked effect on the securities yield besides coefficient b. in the third chapter, the article fut forward a risk factor model, estimates yield sequences of every risk factor by weight regression, and then estimates each risk factor coefficient of different stock by time sequence regression, at last we can reckon the portfolio risk o2p and yield rp which consists n stocks

    結合國際慣例，文章考慮了股票的凈值市價比（ b p ） ，市盈率倒數（ e p ） ，流通規模（ size ） ，流通比例（ stru ）和財務杠桿（ levge ）等五個財務指標，應用描述性統計檢驗和橫截面統計檢驗等多種方法，結果表明，除系數以外，凈值市價比（ b p ）和流通規模（ size ）對證券收益率部有重要的影響。在論文的第三章，提出了一個基於多因素的風險因子模型，並用加權回歸和時間序列回歸等方法估計出了不同證券的各風險因子系數（類似於單指數模型中的系數） ，據此，即可衡量出一個包括n只股票的組合的風險_ p ~ 2和收益率r _ p 。
  11. This article utilizes the questionnaire survey and the scene investigation method, conducts the investigation and study to the yangtze river delta area silk expense in the foundation, the utilization supplies and the demand balanced analysis theory, the time series law, the tendency pre - measurement, the season analyzes the pre - measurement, the elastic analysis theory, as well as method and so on return analytic method carries on the comprehensive analysis to the cocoon silk profession, promulgates the influence cocoon silk profession development in order to the restriction factor, and seeks corresponding solution silk market long - term equilibrium and weakens the price undulation frequent countermeasure

    本文運用問卷調查和現場調查方法，對長江三角洲地區的絲綢消費進行調查研究的基礎上，運用供給和需求均衡分析理論、時間序列法，趨勢預測法，季節分析預測法，彈性分析理論，以及回歸分析法等方法對繭絲綢行業進行全面的剖析，以求揭示影響繭絲綢行業發展的制約因素，並尋求相應解決絲綢市場長期均衡和減弱價格波動頻繁的對策。
  12. It is the first time to use the conventional espi system ( neither phase shifting nor carrier is used ) to continuously analyze the super low frequency vibration with high quantitative in the world

    在火箭固體燃料動態力學特性研究中，時間序列法成功的給出了固體燃料的蠕變曲線和蠕變速率曲線，並且給出了其熱變形和蠕變不同時刻的全場位移分佈。
  13. This system adopts cumulatively autoregressive moving average model [ arima ] of time series method and modified model gm ( 1, 1 ) of grey system, makes a local load forecasting modeling through the integration of the above two models and also preprocesses the daily load during the sudden change of climate, thus greatly improving the forecast accuracy. the practical operation indicates that the model is reasonable and easy to operate with complete function

    本系統在經過反復試算后，在演算法上採用了時間序列法的累積式自回歸動平均模型（ arima ）與灰色系統中的gm （ 1 ， 1 ）改進模型，並將兩種模型組合用於該地區負荷預報建模，另外還對氣候急變日負荷進行了預處理，大大提高了預報準確度。
  14. The essay combines the fuzzy mathematic concept with time - series forecast method, and gets the forecast model of total social freight turnover based on improved time - series, hereby forecasts the total social freight turnover in 2006

    摘要將模糊數學概念加入到時間序列預測方法中，得到了基於改進時間序列法的全社會貨物周轉量的預測模型，並據此預測了2006年的社會貨物周轉量。
  15. Lastly, computer programs for the dynamic analysis and time series method are compiled in matlab

    利用matlab語言編制了相應的求解機構運動學、動力學問題和應用時間序列法辨識模態參數的程序。
  16. Time series methods are especially good for short - term forecasting where, within reason, the past behaviour of a particular variable is a good indicator of its future behaviour, at least in the short - term

    時間序列法特別適合短期預測，原因之一是一個特定變量的可以由先前的屬性推斷出未來屬性，至少短期可以。
  17. In fact, hydrology system is dominated by the objective factors, such as weather, geography and human activities, with combination of determinacy and randomness. the chaotic analysis method combines determinacy and randomness, which seems more adaptive to describe hydrologic time series than conventional hydrologic methods, and becomes more and more attractive recently

    本文打破以往傳統分析中單一的確定性分析或隨機性分析，在水文日流量時間序列中，引入將兩者統一起來的混沌性，系統地研究了水文流量的混沌非線性時間序列法。
  18. 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。
  19. 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。
  20. 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。
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