Description: Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifieur
Please run mexme_NN to recompile mex files on your own plateform
Please run test*.m to run demos
- [global_mini] - Find function of the minimum value of th
- [nnsagafuzzy] - nn sa ga fuzzy algorithms such as a summ
- [genetic_segment] - the use of genetic algorithms for image
- [LVQ-EXAMPLE] - neural network, the creation of the Inte
- [NN] - Neural network algorithm, together with
- [VQmatlab] - VQ method of speaker recognition matlab
- [optime] - Optimal control of state function exampl
- [code] - Two algorithms, BP algorithms and LVQ al
- [lvq] - lvq vector quantization algorithm for th
File list (Check if you may need any files):
artificial.mat
basicroc.m
grlvq_model.c
h2m_glvq_model.c
html
....\test_srng.html
....\test_srng_05.png
....\test_srng_06.png
ini_proto.m
ionosphere.mat
iris.mat
mexme_NN.m
NN_predict.c
normalize.m
perf_classif.c
sampling.m
samplingset.m
srng_model.c
test_grlvq.m
test_h2mglvq.m
test_srng.m
wine.mat
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