series forecasting methods 中文意思是什麼

series forecasting methods 解釋
系列預測法
  • 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
  • methods : （方法）：是指定給對象的函數。在函數被指定給對象之後，該函數就可以被稱為是該對象的方法。
  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. 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。
  3. 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。
  4. 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。
  5. With the increasing amount of data of time series in hydrological databases, it is very important in f100d forecasting and f100d dispatching to study the methods of retrieving similarity and then find the rules and tendencies contained in the hydrological time series

    水文數據庫中存在大量時間序列數據，發現水文時間序列中蘊藏的規律，有利於掌握水文數據變化規律和趨勢，在洪水預報、防洪調度方面有重要的現實意義。
  6. By using the tractitional grey forecasting model and unbiased grey forecasting model, the deformations of series of slopes are forecasted ; and the results indicate that both methods are valid and the later is more accurate

    採用傳統灰色預測模型和無偏灰色預測模型對邊坡變形進行預測，預測結果表明，兩種模型都是有效的，無偏灰色預測模型的精度更高。
  7. 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。
  8. This thesis explored the application of the forecasting methods of arima time series and multivariate fuzzy time series : two - factors models, proposed by chen and hwang ( 2000 ), heuristic models, proposed by huamg ( 2001 ), and markov models, proposed by wu et. al. ( 2003 ). this thesis employed five to sixteen intervals to instead of the method proposed by huarng ( 2001 )

    本文的研究重點在探究近期理論界提出的三種多變量模糊時間數列模型? ? chen和hwang （ 2000 ）所提出的二因子模型、 huarng （ 2001 ）所提出的引導式模型、 wu等（ 2003 ）所提的馬可夫模型，分別針對各模型的建構步驟、適用場合，及上述文獻未達到的部份，再做深入研究，並比較其結果。
  9. At the same time, in order to investigate to distill a new method of useful information of a database, data processing methods of using neural network and fuzzy math are specially investigated. a new thought of speedy and accurate forecasting data is advanced to use bp and rbf network. and applying fuzzy math in series with neural network distills the grade of membership value of data

    同時，為了研究從數據庫中提取出有用的信息的新方法，專門對採用神經網路和模糊數學方法處理數據進行了研究，提出了何時採用bp和rbf網路進行快速、準確預測數據的新思路，以及通過模糊數學和神經網路的串聯，來提取數據中的隸屬度值的新方法。
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