Description: A random vector functional link network (RVFLN)It is proved that the RVFLN not only trains much faster with
good generalization performance, but also overcomes some pos- sible fl aws (such as the low convergence rate and the local
minimum) of the BP algorithm. But poor quality RVFLN is usually obtained whenever the training data are corrupted with outliers.
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PVSYSTEMprodict\AFTERregressionmethod.m
...............\AFTERregressionmethod.txt
...............\AFTERregressionmethodLXUANZE.m
...............\afterregressionSHUCHUJIEGUO.mat
...............\afterregressiontest.fig
...............\afterregressiontrainset.fig
...............\ANTIGYH.m
...............\art%3A10.1007%2Fs10489-013-0501-1.pdf
...............\Beforeregression.txt
...............\BeforeregressionSHUCHUJIEGUO.mat
...............\beforeregressiontest.fig
...............\beforeregressiontestANTI.fig
...............\beforeregressiontrain.fig
...............\beforeregressiontrainANTI.fig
...............\DATA.mat
...............\FENLEI.mat
...............\GYH.m
...............\GYH.mat
...............\H.mat
...............\Hiddenlayersselect.fig
...............\L.asv
...............\L.m
...............\lamuda.mat
...............\Lamudaselect.mat
...............\LQ.asv
...............\LQ2jieguo.m
...............\QLxunhuan.m
...............\regressionmethod.m
...............\regressionmethodlamudaselect.m
...............\selectlamuda.fig
...............\SHUCHUJG.mat
...............\SHUCHUJGre.mat
...............\SHURU.mat
...............\sumLQ.mat
...............\T.mat
...............\TV.T
PVSYSTEMprodict
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