Neural network classifiers in matlab

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.

Project Files: 

File NameSize
artificial.mat 53363
basicroc.m 1376
grlvq_model.c 37752
h2m_glvq_model.c 31951
test_NN.html 41495
test_NN.png 3336
test_NN_01.png 8114
test_NN_02.png 8623
test_NN_03.png 8561
test_NN_04.png 7806
test_NN_05.png 13323
test_NN_06.png 13193
test_NN_07.png 13395
test_NN_08.png 8104
test_srng.html 15443
test_srng.png 2379
test_srng_01.png 7962
test_srng_02.png 4166
test_srng_03.png 3038
test_srng_04.png 3616
test_srng_05.png 4467
test_srng_06.png 4664
ini_proto.m 2545
ionosphere.mat 96064
license.txt 1315
mexme_NN.m 128
NN_predict.c 7921
normalize.c 6357
normalize.m 1972
perf_classif.c 7006
plot_label.m 924
sampling.m 17127
samplingset.m 1494
srng_model.c 40823
test_NN.m 18385

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