a BP networks for power electricy load forecast
標(biāo)簽： electricy networks forecast power
上傳時(shí)間： 2013-12-24
上傳用戶：bruce5996
PKU 上的幾個(gè)題目 Tunnel Warfare Unique Solution Washing Clothes Weather forecast Who Gets the Most Candies
標(biāo)簽： forecast Solution Clothes Warfare
上傳時(shí)間： 2014-01-19
上傳用戶：ynsnjs
the load forecast based on Neural Networks,use the MATLAB
標(biāo)簽： the forecast Networks Neural
上傳時(shí)間： 2016-12-21
上傳用戶：iswlkje
MARKET ANALYSIS World wide Hard Disk Drive 2008-– 2012 forecast and Analysis : Shrugging Off Storage Technology Challengers
標(biāo)簽： Shrugging ANALYSIS Analysis forecast
上傳時(shí)間： 2017-06-05
上傳用戶：yyyyyyyyyy
Recent IDC research paper: SPECIAL STUDY Digital Photo Frame 2008-– 2012 forecast. Useful to people who wants to develop digital frame.
標(biāo)簽： forecast research Digital SPECIAL
上傳時(shí)間： 2013-12-28
上傳用戶：tianjinfan
IDC research. MARKET ANALYSIS World wide and U.S. Portable Media Player 2008-– 2012 forecast and Analysis
標(biāo)簽： U.S. ANALYSIS forecast research
上傳時(shí)間： 2013-11-28
上傳用戶：aa54
Current field forecast verification measures are inadequate, primarily because they compress the comparison between two complex spatial field processes into one number. Discrete wavelet transforms (DWTs) applied to analysis and contemporaneous forecast fields prove to be an insightful approach to verification problems. DWTs allow both filtering and compact physically interpretable partitioning of fields. These techniques are used to reduce or eliminate noise in the verification process and develop multivariate measures of field forecasting performance that are shown to improve upon existing verification procedures.
標(biāo)簽： field forecast verification
上傳時(shí)間： 2020-07-22
上傳用戶：
一、 一元三次回歸方程 CubicMultinomialRegress.cs 方程模型為Y=a*X(3)+b*X(2)+c*X(1)+d public override double[] buildFormula() 得到系數(shù)數(shù)組，存放順序與模型系數(shù)相反，即該數(shù)組中系數(shù)的值依次是d,c,b,a。 以后所述所有模型的系數(shù)存放均與此相同（多元線性回歸方程除外）。 public override double forecast(double x) 預(yù)測(cè)函數(shù)，根據(jù)模型得到預(yù)測(cè)結(jié)果 public override double computeR2() 計(jì)算相關(guān)系數(shù)（決定系數(shù)），系數(shù)越接近1，數(shù)據(jù)越滿足該模型。
標(biāo)簽： CubicMultinomialRegress override public double
上傳時(shí)間： 2015-11-25
上傳用戶：13215175592
指數(shù)回歸方程 ExponentRegress.cs 方程模型為 public override double[] buildFormula() 得到系數(shù)數(shù)組，存放順序與模型系數(shù)相反，即該數(shù)組中系數(shù)的值依次是b,a。 public override double forecast(double x) 預(yù)測(cè)函數(shù)，根據(jù)模型得到預(yù)測(cè)結(jié)果。 public override double computeR2() 計(jì)算相關(guān)系數(shù)（決定系數(shù)），系數(shù)越接近1，數(shù)據(jù)越滿足該模型。
標(biāo)簽： ExponentRegress buildFormula override public
上傳時(shí)間： 2013-12-20
上傳用戶：xg262122
雙曲線回歸方程 HyperbolaRegress.cs 注意！該模型要求a與b的值要大于0！使用該模型時(shí)應(yīng)注意驗(yàn)證這個(gè)限制條件。我在實(shí)現(xiàn)模型時(shí)未加入任何出錯(cuò)流程控制。X不能為0。 方程模型為 public override double[] buildFormula() 得到系數(shù)數(shù)組，存放順序與模型系數(shù)相反，即該數(shù)組中系數(shù)的值依次是b,a。 public override double forecast(double x) 預(yù)測(cè)函數(shù)，根據(jù)模型得到預(yù)測(cè)結(jié)果。 public override double computeR2()
標(biāo)簽： HyperbolaRegress 模型 方程 cs
上傳時(shí)間： 2014-11-30
上傳用戶：youke111
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