time series analysis method 中文意思是什麼

time series analysis method 解釋
時間序列分析法
  • 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;...
  • analysis : n. (pl. -ses )1. 分解,分析;【數學】解析。2. 梗概,要略。3. 〈美國〉用精神分析法治療(= psychoanalysis)。
  • method : n 1 方法,方式;順序。2 (思想、言談上的)條理,規律,秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  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. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上,針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究,具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找等方面,所做的工作和取得的創新成果體現在以下三個方面: 1 )時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  3. These researches will help us to discover changing or developing principle of things, support to decision - making, etc. the thesis addresses several key technical problems of pattern mining and its search based similarity in time series, which covers feature patterns and relationship patterns mining, pattern search based on similarity in time series and stream time series and issues concerning application system implementation oriented to analysis. major contributions of this thesis include : 1. research of mining feature patterns in time series a novel method is proposed to discovery frequent pattern from time series

    本文在分析時間序列特點和實際應用需求的基礎上,針對時間序列的挖掘與相似性查找一些關鍵技術進行了研究,具體包括特徵模式挖掘、多序列關聯模式挖掘、相似性模式查找,在線相似性查找以及最終的分析應用系統開發等方面,所做的工作和取得的創新成果體現在以下五個方面: 1 )時間序列特徵模式挖掘研究首次提出了一種基於互關聯后繼樹模型的時序特徵模式挖掘方法。
  4. 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。
  5. 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。
  6. Water requirement forecast for rice from well irrigation on the basis of time series analysis method

    基於井灌區管道輸水系統的波涌灌技術
  7. ( 2 ) the method of time series analysis and the stochastic models are introduced, and the yearly and monthly runoff series stochastic models at the heiyukou gauging station in heihe river are established and checked

    ( 2 )對水文系列的時間序列分析方法及常用的隨機模型進行了闡述,建立了黑河黑峪口站的年、月徑流序列生成模型並進行了檢驗。
  8. 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。
  9. The time - space series analysis method containing randomicity on the base of continuity is formed after the analysis systems of time series, space series and fractals are compared

    對比研究了時間序列、空間序列、分形的分析體系,提出了在連續性基礎上包容隨機性的時空序列分析方法。
  10. The algorithm of strapdown inertial navigation system is also discussed and then use the flight - track generator to give a simulation, since a closed loop feedback integrated navigation system is designed in this paper, and the output of the filter must feed back to the strapdown inertial navigation system, the analysis of the algorithm in strapdown inertial navigation system is important. the scheme to design the trajectory of gps and the simulation of gps constellation are then studied, the simulation of gps constellation is given from the calculation of vernal equinox base on the principle of celestial mechanics, this method of different from other methods given by other paper and is useful to the research of satellite navigation system. a new method to abstract noise modal in integrated navigation system is proved to be useful in practice, this method, which is given by use the principles of stochastic processes, statistics, time series analysis, and system identification, is suitable for the kalman filter in integrated navigation system

    如航跡產生器的設計,該航跡產生器是研究組合導航問題的前提,從國外一些研究組合導航系統的文獻中可以看出,設計這樣一個航跡產生器是非常必要的,所以本文自行設計了這樣一個系統;還討論了捷聯慣性導航系統中捷聯解算的方法,並進行了模擬研究,由於在本文設計的閉環反饋式組合導航系統中,對捷聯慣導系統的平臺誤差進行閉環控制,需要將濾波器輸出的校正量反饋到捷聯解算內部,所以必須對捷聯解算進行深入的研究和分析,更何況捷聯解算問題本身也是導航界的一個熱門研究課題;另外,本文還介紹了gps軌道及其星座模擬的設計思想和方案,與以往gps軌道和星座模擬不同的是本文從天體力學中計算春分點開始,逐步進行gps軌道及其星座模擬,這樣的設計方法對從事衛星導航的研究工作是有價值的;還對組合導航中誤差建模方法進行了研究,綜合運用隨機過程、概率統計、時序分析及系統辯識等方面的理論提出了一套適合組合導航卡爾曼濾波的誤差建模方法,並運用實際研究工作中的測量數據對該方法進行了驗證。
  11. Compared with the cases of application between the dynamic model and static model, it is indicated that the method of time series analysis is an important and advanced forecasting method in statistical forecasting

    用時間序列動態模型與靜態多項式模型分別對縱向地表的沉降值進行預報和外推,跟實測值進行了對比,取得了良好的效果。
  12. The paper applies time series analysis method to set up arma model and arima model

    摘要運用時間序列分析方法對時間序列建立arma , arima模型。
  13. Based on online parameter estimation of the arma. innovation models, using the modern time series analysis method, the several self - tuning kalman tracking filters are presented, where the three different algorithms of the kalman tracking filter gains are used

    基於arma新息模型參數的在線估計,應用現代時間序列分析的方法,提出了若干自校正kalman跟蹤濾波器,其中,應用了求kalman跟蹤濾波器穩態增益的三種不同演算法。
  14. A nonlinear time series analysis method has been used for reconstruction of sea surface temperature ( sst ) anomalies

    摘要用非線性時間序列分析方法對海平面溫度距平場進行重構。
  15. In the oil condition monitoring field of mechanical equipment, the use of the method of time - series analysis has rarely been reported

    在機械設備的滑油監控領域,對其光譜數據採用時序分析目前尚不多見。
  16. Considering the special function of wavelet technology in gross error detection and noise reduction, the paper presents, in improved time - series analysis method based on wavelet noises reduction focused on the combination of wavelet technology and traditional data processing technology, the application of this method for gps deformation monitoring is demonstrated by a practical example

    摘要考慮到小波技術在粗差探測、消噪方面有特殊的作用,本文結合實際算例,把小波分析與傳統數據處理技術結合作為研究對象,提出一種基於小波消噪的時序分析改進法。
  17. After studying various constraints, a constraint - based cluster using function partition based on angle dissimilarity, a partition sowntown means with least outspread tree method, and the quantity of customer ' s sale was forecasted by time - series analysis were presented. so, a series of cspr ( cluster sown town partition rule ) to manage lcc database was describe

    為實現對滿足約束條件的聚類尋找適當的方法,作者在分析聚類約束條件的基礎上,提出運用基於角度相異度的函數劃分法處理地理位置的約束條件,用最小生成樹聚類分析方法生成滿足多項約束條件的聚類,用時間序列預測技術使客戶銷量約束條件趨于完善。
  18. The author summarizes the current situation of the large scale data topographic map surveying ; analyzes the technology used in the large scale data - mapping system ; introduces system error correction ways based on time series analysis and analyzes the basic method of getting topographic information directly from the aerial photogrammetric surveying

    摘要概述了目前大比例尺數字化地形圖測繪的現狀;分析了實現大比例尺數字化航測成圖系統的相關技術;引入了基於時間序列分析的系統誤差修正方法,分析了直接從航測影像獲取地形信息的基本方法。
  19. What the practical problems is often gotten is a single variable time series which has a time interval of t, reflect by a lot of interactive physics factor, containing the mark of all variates participating in movement, traditional time series analysis is to analyse going from this array to the form directly it ' s time develops, one dimension analysis loses useful information, the characteristics of phase space reconstruction method is to construct one dimension scalar quantity to high dimension vector, prop the geometry space of the state, show all dynamical information of system in phase space. the characteristic that just constructs again according to the phase space in this text, analyse the time series of responding, use the relevant knowledge of symbol dynamics and reconstruct phase space, put forward a kind of relation degree analysis method of the systematic mathematics model which has theory basis, so reach the correction of calculation mathematics model, make it accord with the actual systematic state

    實際問題中常常得到的是一個時間間隔為t的單變量的時間序列,它是許多物理因子相互作用的綜合反映,蘊藏著參與運動的全部變量的痕跡,傳統的時序分析是直接從這個序列去形式地分析它的時間演變,一維分析必然喪失許多有用信息,相空間重構方法的特點是把一維標量數據構造成高維矢量,支起狀態的幾何空間,在相空間中展示系統全部動力信息。本文正是根據相空間重構的特點,對響應時間序列進行分析,利用符號動力學、重構相空間等方法,提出一種有理論依據的系統數學模型關聯度分析方法,從而達到修正計算數學模型,使其更符合實際系統狀態的目的。
  20. Chapter two introduced the basic ideas of emd theories briefly, and then discussed the emd - based time - frequency analysis method ' s basic agrithom. the conclusion was deduced that the method is valid in the field of signals processing and fault diagnosis in rotating machinery by simulation and real signal analysis. chapter three discussed the origin of emd method ' s end effect, then studied the direct, time - series based and neuron network based data extention technologys to weaken the end effect

    第二章介紹了基於emd時頻分析方法的一些基本概念;闡述了emd方法和基於emd的希爾伯特變換的基本原理和演算法;在此基礎上,用基於emd的時頻分析方法對模擬和實際信號進行了分析驗證,結果表明把該方法引入旋轉機械振動信號時頻分析和故障診斷領域是有效的。
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