RBF

代码说明：

  径向基函数网络(RBF)特点：1)可用于任意维空间的插值；2)训练速度和插值速度较慢；3)一旦训练成功，只要存储权系数矩阵即可，适用于海量数据的插值；4)当数据不全时，可以用于数据补全。 (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.)

文件列表：

RBF
...\Debug
...\Goal.cpp,3128,2003-03-06
...\Goal.h,1792,2003-03-06
...\Input.cpp,3142,2003-03-06
...\Input.h,1802,2003-03-06
...\RBF.APS,34764,2003-05-21
...\RBF.CLW,6296,2003-05-21
...\Rbf.cpp,2978,2003-04-09
...\RBF.DEF,175,2003-03-06
...\RBF.DSP,4531,2003-03-06
...\RBF.DSW,529,2003-03-06
...\RBF.NCB,345088,2003-05-21
...\Rbf.opt,64000,2003-05-21
...\RBF.PLG,901,2003-05-21
...\RBF.rc,5553,2003-05-21
...\RBFDlg.cpp,13821,2003-05-21
...\RBFDlg.h,27411,2003-05-21
...\ReadMe.txt,2453,2003-03-06
...\RES
...\...\RBF.RC2,395,2003-03-06
...\Resource.h,1237,2003-05-21
...\SInput.cpp,3156,2003-03-06
...\SInput.h,1812,2003-03-06
...\StdAfx.cpp,205,2003-03-06
...\StdAfx.h,1447,2003-03-06