RBFmodeling
代码说明：
高斯径向基建模以及模型预测精度检验的matlab实现，并且比较了不同增广项对建模精度的影响(Gaussian radial basis modeling and model prediction accuracy test matlab realize, and compare different augmented items on the modeling accuracy)
文件列表：
增广项种类最佳0318final
.......................\createfigure.m,2963,2013-03-18
.......................\data.xls,19456,2013-03-12
.......................\dataNi.xls,19456,2013-03-18
.......................\dataNi_forPredict.xlsx,10265,2013-03-18
.......................\data_all.xlsx,12998,2013-03-14
.......................\data_forPredict.xlsx,10123,2013-03-15
.......................\data_real_rate.xlsx,8827,2013-03-18
.......................\data_real_UI.xlsx,8837,2013-03-18
.......................\evaluateRMSE.m,1110,2013-03-05
.......................\evaluation.m,269,2013-03-18
.......................\evaluationR.m,1529,2013-03-18
.......................\fortry.m,124,2013-03-14
.......................\fresult.m,874,2013-03-18
.......................\GaussParameter.m,304,2013-03-13
.......................\GaussParameter_sym.m,1456,2013-03-18
.......................\getAB.m,1185,2013-03-14
.......................\getAB_sym.m,1313,2013-03-18
.......................\getnewAB.m,1132,2013-03-18
.......................\mimresult.m,200,2013-03-05
.......................\producef.m,1129,2013-03-13
.......................\SeperateSR.m,595,2013-03-17
.......................\sourceCode.m,2553,2013-03-18
.......................\start.m,4362,2013-03-18
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