PVSYSTEMprodict
代码说明:
随机权神经网络预测光伏电池的光功率的matlab仿真源代码(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.)
文件列表:
PVSYSTEMprodict
...............\AFTERregressionmethod.m,8344,2016-02-26
...............\AFTERregressionmethod.txt,69,2016-02-27
...............\AFTERregressionmethodLXUANZE.m,8344,2016-02-26
...............\afterregressionSHUCHUJIEGUO.mat,79475,2016-02-26
...............\afterregressiontest.fig,17006,2016-02-26
...............\afterregressiontrainset.fig,21722,2016-02-26
...............\ANTIGYH.m,569,2016-02-26
...............\art%3A10.1007%2Fs10489-013-0501-1.pdf,736524,2016-02-26
...............\Beforeregression.txt,59,2016-02-26
...............\BeforeregressionSHUCHUJIEGUO.mat,79461,2016-02-26
...............\beforeregressiontest.fig,16967,2016-02-26
...............\beforeregressiontestANTI.fig,17441,2016-02-26
...............\beforeregressiontrain.fig,23106,2016-02-26
...............\beforeregressiontrainANTI.fig,21724,2016-02-26
...............\DATA.mat,4943,2016-02-22
...............\FENLEI.mat,3990,2016-02-22
...............\GYH.m,2265,2016-02-23
...............\GYH.mat,31359,2016-02-23
...............\H.mat,18907,2016-02-24
...............\Hiddenlayersselect.fig,21226,2016-02-26
...............\L.asv,8085,2016-02-22
...............\L.m,8085,2016-02-22
...............\lamuda.mat,274,2016-02-24
...............\Lamudaselect.mat,418,2016-02-26
...............\LQ.asv,8083,2016-02-22
...............\LQ2jieguo.m,6190,2016-02-26
...............\QLxunhuan.m,8213,2016-02-23
...............\regressionmethod.m,5284,2016-02-26
...............\regressionmethodlamudaselect.m,5535,2016-02-26
...............\selectlamuda.fig,16982,2016-02-26
...............\SHUCHUJG.mat,312768,2016-02-23
...............\SHUCHUJGre.mat,79624,2016-02-24
...............\SHURU.mat,3895,2016-02-22
...............\sumLQ.mat,77326,2016-02-22
...............\T.mat,1200,2016-02-24
...............\TV.T,0,2016-02-22
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