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time-series analysis in Chinese

Pronunciation:
How to pronounce "time-series analysis""time-series analysis" in a sentence"time-series analysis" meaning

Translationmobile phoneMobile

  • 時(shí)間系列
  • 時(shí)(間)系列[序列]分析
  • 時(shí)間數(shù)列分析
  • 時(shí)間序數(shù)分析
  • 時(shí)序分析

Examples

  • The pure time - series analysis was developed firstly
    早期的研究主要以時(shí)間序列數(shù)據(jù)為主。
  • The evolutionary modeling of higher - order ordinary differential equations for time - series analysis
    高階常微分方程的演化建模用于時(shí)間序列的分析
  • Aim to propose a new mode of time series based on the traditionally seasonal time - series analysis
    摘要目的對(duì)傳統(tǒng)季節(jié)時(shí)間序列模型進(jìn)行分析研究,提出一種新的季節(jié)時(shí)間序列模型。
  • In the oil condition monitoring field of mechanical equipment , the use of the method of time - series analysis has rarely been reported
    在機(jī)械設(shè)備的滑油監(jiān)控領(lǐng)域,對(duì)其光譜數(shù)據(jù)采用時(shí)序分析目前尚不多見(jiàn)。
  • During this course we will examine applications of several learning techniques in areas such as computer vision , computer graphics , database search and time - series analysis and prediction
    課程期間我們將檢視數(shù)種學(xué)習(xí)技巧在一些領(lǐng)域上的應(yīng)用如電腦視覺(jué)、電腦繪圖、數(shù)據(jù)庫(kù)搜索和時(shí)間數(shù)列分析與預(yù)測(cè)。
  • During this course we will examine applications of several learning techniques in areas such as computer vision , computer graphics , database search and time - series analysis and prediction
    課程期間我們將檢視數(shù)種學(xué)習(xí)技巧在一些領(lǐng)域上的應(yīng)用如計(jì)算機(jī)視覺(jué)、計(jì)算機(jī)繪圖、數(shù)據(jù)庫(kù)搜索和時(shí)間數(shù)列分析與預(yù)測(cè)。
  • 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(shù)在粗差探測(cè)、消噪方面有特殊的作用,本文結(jié)合實(shí)際算例,把小波分析與傳統(tǒng)數(shù)據(jù)處理技術(shù)結(jié)合作為研究對(duì)象,提出一種基于小波消噪的時(shí)序分析改進(jìn)法。
  • 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(shí)現(xiàn)對(duì)滿足約束條件的聚類(lèi)尋找適當(dāng)?shù)姆椒?,作者在分析聚?lèi)約束條件的基礎(chǔ)上,提出運(yùn)用基于角度相異度的函數(shù)劃分法處理地理位置的約束條件,用最小生成樹(shù)聚類(lèi)分析方法生成滿足多項(xiàng)約束條件的聚類(lèi),用時(shí)間序列預(yù)測(cè)技術(shù)使客戶銷(xiāo)量約束條件趨于完善。
  • The analysis of time - series is important for economics statistics and forecasting . up till now , most documents adopt arima model to carry on modeling and predict to time - series analysis extensively . but arima model needs more than 50 historical statistics in model discerning , and it is difficult to collect data by quarter , month or year
    時(shí)間序列分析在經(jīng)濟(jì)統(tǒng)計(jì)與預(yù)測(cè)中占有重要地位,到目前為止,大多數(shù)文獻(xiàn)廣泛采用arima模型法對(duì)時(shí)間序列分析進(jìn)行建模與預(yù)測(cè),可是arima模型法在模型識(shí)別時(shí)需要50個(gè)以上歷史統(tǒng)計(jì)數(shù)據(jù),這對(duì)按月、按季或按年記錄的經(jīng)濟(jì)資料往往較難收集。

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