The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files on your own plateform (Be sure that you setup your matlab by matlab -setup at least one) Please run test_NN. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

NN_predict.c
artificial.mat
basicroc.m
grlvq_model.c
h2m_glvq_model.c
.tml\test_NN.html
....\test_NN.png
....\test_NN_01.png
....\test_NN_02.png
....\test_NN_03.png
....\test_NN_04.png
....\test_NN_05.png
....\test_NN_06.png
....\test_NN_07.png
....\test_NN_08.png
....\test_srng.html
....\test_srng.png
....\test_srng_01.png
....\test_srng_02.png
....\test_srng_03.png
....\test_srng_04.png
....\test_srng_05.png
....\test_srng_06.png
ini_proto.m
ionosphere.mat
mexme_NN.m
normalize.c
normalize.m
perf_classif.c
plot_label.m
sampling.m
samplingset.m
srng_model.c
test_NN.m
license.txt

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