Description: GM (1,1) 1-4 1 : GM (1,1) simulation model Matlab in the input method for gm1 (x), x entail simulation sequence. 2 : GM (1,1) model, in the Matlab input method for gm2 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. 3 : GM (1,1)- simulation model, in the Matlab input method for gm3 (x), x entail simulation sequence. 4 : GM (1,1)- forecasting model, in the Matlab input method for gm4 (x, K), x entail simulated sequence, from the K refers to the first series after a run of data k pending forecast data. Gm4 right sequence relatively good trend data predicted better results, the next change in the data, especially after four data with the previous trend data contrary, predict poor. Gm2 next to the change in forecast resu
- [predictionsystem.Rar] - gray forecasting model called CM model,
- [svm_v0.55beta] - The newest work tools of svm,it will be
- [GMmodel] - with a VB is to achieve the gray model G
- [predict] - A prediction on the fitting procedure, f
- [huise] - Used for gray prediction of source code,
- [svr] - SVR (support vector regression), namely
- [GMmatlab] - Gray prediction model, using data on the
- [GM-HMM] - GM and HMM classic introductory informat
- [MATlAB_non_linear_fitting] - Using matlab implementation of the known
- [Matlab] - Matlab-based prediction algorithm of gra
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