time series forecasting 中文意思是什麼

time series forecasting 解釋
時間序列預測法
  • 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；...
  • 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. Unvaried - time series analysis and forecasting is an important portion of current signal process and economics

    一元時間序列分析與預測在現代信號處理和經濟學中佔有重要的地位。
  3. 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。
  4. Forecasting for aero - materials ' consumption rate based on time series analysis

    航材消耗的時間序列分析
  5. Time - series forecasting based on neural tree model

    基於神經樹的時間序列預測
  6. Forecasting method of chaotic time series based on rbf

    基於徑向基函數的海雜波時間序列預測方法
  7. A study on forecasting for time series based on wavelet analysis

    基於小波分解與重構的時間序列預測法
  8. Financial time series forecasting based on nonlinear tracking - differentiator

    微分器的金融時間序列預測
  9. Time series neural network model for hydrologic forecasting

    水文預報的時間序列神經網路模型
  10. The application of time - series modeling and forecasting method to the spectral analysis for lubricating oil of mechanical equipment is discussed

    討論了時序建模與預測方法在機械設備滑油光譜分析中的應用。
  11. Then the paper investigated the regularity of different oil indices using time series statistical analysis method, which suggested that there are some regular components in it, including long - term secular trend, seasonal component and long - term cyclical component. the irregular component also plays an important part in it, mainly including the policy of opec, war, all kinds of international convention for the prevention of pollution from tankers and so on. and then a study of simulation and forecasting performance of arima time series model was conducted to crude oil indices, evidence shows that arima model performs better, especially for short - term forecasting

    在此基礎上，本文以時間序列分析作為基礎研究手段，以德國海運費率指數公布的1980年1月至1999年12月的四類油運費率指數為研究對象，分析了四類油運費率指數的長期變化趨勢、季節變化規律、長期周期循環變化規律和不規則變化規律，並應用arima時間序列模型對160000dwt以上的原油運費率指數進行了短期預測，取得了較好的預測效果。
  12. The main purpose of this paper is to investigate the application of the neuron network for the daily exchange rate forecasting. generalized cross validation is introduced to determine the number of nodes of the hidden layer, several well known time series forecasting methods are also compared with the nn method in this paper

    討論了人工神經網路在金融匯率預報中的應用。其中介紹了廣義交互驗證generalized cross validation法如何應用於確定神經網路中隱層的個數，並用實例說明了該方法甚至對復雜的非線性函數也可以得到很好的逼近。
  13. Considering the characteristic of vibration of rotary machines, this thesis makes a thorough discussion of forecasting the trend of vibration by a means of time series model, puts forward means of processing the nonstationarity, nonnormality and singular value of the field data and distinguishing their models to build a appropriate model and gets precise mulstep forecast to the trend of vibration

    針對旋轉機械的振動的特點，本文深入討論了利用時間序列模型預測振動趨勢的方法，並提出了如何處理現場數據的非平穩性，非正態性，奇異值和模型類型判別方法，以構建合適的模型，實現對振動趨勢進行準確的多步預測。
  14. 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。
  15. Time series forecasting models of food - grain consumption per capita in china were scanned and selected by using spss, and were built based on the correlative relationship between quantity of consumption and time

    利用糧食消費量與時間之間的相關關系，採用spss程序包進行篩選，建立我國人均食用糧食消費的時序預測模型。
  16. Based on selective learning of data mining and analysis of characteristics of data or information in rock mechanics and engineering, some data mining algorithm models are applied to analysis problems of rock engineering and the research is combined with practical engineering projects. relevance analysis to slope rock rheological test, rock mass quality assessment of dam foundation rock mass and displacement time series forecasting analysis to underground opening are performed by using data mining technique in this paper

    本文在較全面的探討現有數據挖掘技術以及分析了巖體工程有關數據和信息特點基礎上，結合具體工程問題，基於數據挖掘技術進行了邊坡巖體流變試驗成果的相關性分析、壩基巖體的巖體質量評價分級研究和地下洞室監測位移序列時序預測分析。
  17. Integrating kernel principal component analysis with least squares support vector machines for time series forecasting problems

    基於核主成分分析與最小二乘支持向量機結合處理時間序列預測問題
  18. 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。
  19. Chaotic time series forecasting using online least squares support vector machine regression

    基於在線最小二乘支持向量機回歸的混沌時間序列預測
  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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