Description: Radial basis function (RBF) network features: 1) can be used in any dimensional space interpolation 2) interpolation and the training speed slower 3) once the training is successful, as long as the right to store coefficient matrix, is applicable data interpolation 4) when the data is not full-time, can be used for data completion.
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File list (Check if you may need any files):
RBF\Goal.cpp
...\Goal.h
...\Input.cpp
...\Input.h
...\RBF.APS
...\RBF.CLW
...\Rbf.cpp
...\RBF.DEF
...\RBF.DSP
...\RBF.DSW
...\RBF.NCB
...\Rbf.opt
...\RBF.PLG
...\RBF.rc
...\RBFDlg.cpp
...\RBFDlg.h
...\ReadMe.txt
...\.ES\RBF.RC2
...\Resource.h
...\SInput.cpp
...\SInput.h
...\StdAfx.cpp
...\StdAfx.h
...\Debug
...\RES
RBF
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