time series method 中文意思是什麼

time series method 解釋
時間序列法
  • 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；...
  • 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. 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。
  2. Finally, the effectiveness and practicability of this method is demonstrated by the simulation results of the famous box - jenkins gas furnace data and mackey - glass chaotic time series

    與以往的模糊聚類辨識方法相比，所需cpu時間大大縮短，具有較高的辨識精度。
  3. 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。
  4. The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward

    同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。
  5. 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。
  6. 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。
  7. 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。
  8. The fifth chapter " stock price arfima, garch and figarch model " introduced different kinds of time series models including fractal model, method such as analysis of variance ( anova ) and unit root test to test the stability of time series, method and criteria to estimate the arfima, garch and figarch model

    第五章介紹了股票價格的分形時間序列模型，介紹了檢驗時間序列平穩性的方差分析和單位根檢驗方法以及非平穩的處理方法， arfima ， garch和figarch模型的建模方法和股票市場的分形特徵和股票價格的figarcll模型叭穴參數估計方法和估計準則。
  9. 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。
  10. Based on the statistic materials of ports and shipping lines and the advice of specialists, this article analyzed the development course and status of passenger ocean transport on china - korea course, generalized the current problems. taking the port of weihai, qingdao and renchuan for example, using time series method, the author forecasted the volume of passenger on china - korea course in the next 10 years, analyzed the supply capacity and structure of passenger transport fleet, studied the constitute of the fleet, and made balance program for the passenger transport capacity on china - korea course, put forward tariff policy and competition mode of shipping companies

    本文在調查收集港航各方面的統計資料，聽取有關專家的意見的基礎上，分析了中韓航線海上客運的發展歷程和現狀，總結了現在存在的問題；運用時間序列預測法，選取威海、青島和仁川為例，對山東半島至韓國間的客滾運輸航線的客、貨運輸進行了今後10年該航線的客流量預測；分析了客運船隊運力供給及其結構，研究了當前船隊構成存在的問題，作出了中韓航線客運運力的平衡規劃；提出航運公司的運價策略，運輸競爭模式。
  11. Through the annual rainfall of some counties in zhejiang province, the interrelated dimension of rainfall is calculated by the time - series method and rainfall characteristics arc analyzed

    摘要以浙江省某縣年降雨時間序列為例，運用分形理論汁算了該區域降雨的分形維數，並分析了所反映的降雨特徵。
  12. In this paper, the chaotic nonlinear time series method was applied to improve hydrologic inflow data analysis. firstly, chaotic characteristics, i. e., fractal dimension and maximal lyapuonv exponent, and state space parameters, including time delay, reconstruct dimension and neighborhood radius, were calculated respectively. fractal dimension was estimated by g - p saturation correlation dimension method, and maximal lyapuonv exponent was calculated by two methods, namely, rosenstein method and kantz method

    文中利用沙溪口的日流量時間序列，研究了水文混沌非線性時間序列的特徵量，即分維數和最大lyapunov指數的計算，以及相空間重構參數，即時間延遲、嵌入維數和領域搜索半徑的選取。
  13. Improvement of time - series method for short - term traffic prediction

    短時段交通預測時間序列方法的改進
  14. In addition, time series method is also applied in this paper for analyzing and predicting the time - dependent behavior

    另外，引入時間序列分析（一種數據處理方法） ，對基坑的時間效應進行了分析預測。
  15. The time - series method has come into wide use in short - term traffic prediction

    摘要時間序列方法在短時交通預測中應用廣泛。
  16. 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。
  17. 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。
  18. In the final chapter, we mine stock trading data using time series method, find out the model and outliers in the data and, at last, we show the more exact forecasting model and outlier mining method

    第五章利用時間序列的方法對證券交易數據進行了挖掘，找出了數據中的模式和異常，相對傳統方法而言，給出了更精確的預測模型和異常挖掘方法。
  19. The wear process of tribology system in general meaning has been analyzed and discussed. using dynamical system theory and the methods of model building to analyze the spectrometric oil analysis data with time series method

    特別是對潤滑油使用性能影響較大的氧化、沉積物、添加劑損耗等的原因作了較為詳細的論述，為進一步研究潤滑油使用狀況打下了良好的基礎。
  20. The concise dynamic model of population since the foundation of our state is done by means of intervention and time series method ; at the same time this model makes forecasting of people ' s development trend in the following several years

    摘要本文利用干預時序模型方法簡明扼要地對我國建國以來的人口發展趨勢建立了動態模型，並預測了未來幾年我國人口發展的趨勢。
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