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FNN与PCA和KPCA结合

于 2020-09-18 发布文件大小:10KB

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一种特征提取方法：结合主元分析(PCA)和核主元分析（KPCA）的前馈神经网络（FNN）(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))

文件列表：

FNN与PCA和KPCA结合\fnn.asv, 473 , 2014-06-17
FNN与PCA和KPCA结合\fnn.m, 475 , 2014-06-17
FNN与PCA和KPCA结合\hcn.mat, 3190 , 2014-06-15
FNN与PCA和KPCA结合\kernel.m, 177 , 2014-06-07
FNN与PCA和KPCA结合\kpca.asv, 1429 , 2014-06-16
FNN与PCA和KPCA结合\kpca.m, 1352 , 2014-06-17
FNN与PCA和KPCA结合\mykpca.asv, 491 , 2014-06-17
FNN与PCA和KPCA结合\mytest.asv, 1516 , 2014-06-17
FNN与PCA和KPCA结合\mytest.m, 1667 , 2014-06-17
FNN与PCA和KPCA结合\pca.asv, 2206 , 2014-06-17
FNN与PCA和KPCA结合\pca.m, 1083 , 2014-06-17
FNN与PCA和KPCA结合, 0 , 2018-03-14

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