Description: The Kohonen and CPANN toolbox is a collection of MATLAB modules for developing Kohonen Maps and Counterpropagation Artificial Neural networs (CPANNs). These are well known neural networks aimed to the study of data structure (Kohonen Maps) and to the data classification (CPANNs).
- [matlab] - The use of Mexican hat wavelet function,
- [25811252GUI_PR_SVM] - Support Vector Machine Toolbox, realize
- [OV9650] - OV CMOS image sensor, single-chip progra
- [code] - code for tracking
- [SVM-toolbox] - svm classification
File list (Check if you may need any files):
kohonen_cpann_toolbox
.....................\cpann_assign_neuron.m
.....................\cpann_check.m
.....................\cpann_class_param.m
.....................\cpann_update.m
.....................\cv_cpann.m
.....................\help
.....................\....\cpann.htm
.....................\....\example.htm
.....................\....\footer.htm
.....................\....\header.htm
.....................\....\help.htm
.....................\....\index.htm
.....................\....\kohonen.htm
.....................\....\kohonen_top_map.gif
.....................\....\kohonen_visualize.gif
.....................\....\license.htm
.....................\....\logo_milano_chemometrics.jpg
.....................\....\menu_lateral.htm
.....................\....\references.htm
.....................\....\routines.htm
.....................\....\start.htm
.....................\....\style_structure.css
.....................\....\style_tables.css
.....................\....\style_text.css
.....................\....\theory.htm
.....................\....\theory_cpann.gif
.....................\....\theory_kohonen.gif
.....................\....\web.htm
.....................\help.htm
.....................\iris.mat
.....................\kohonen_check.m
.....................\model_cpann.m
.....................\model_kohonen.m
.....................\pred_cpann.m
.....................\pred_kohonen.m
.....................\readme.txt
.....................\som_find_neigb.m
.....................\som_net.m
.....................\som_scaling.m
.....................\som_settings.m
.....................\som_update.m
.....................\som_which_col.m
.....................\som_which_neuron.m
.....................\som_winner.m
.....................\visualize_labels.fig
.....................\visualize_labels.m
.....................\visualize_map.fig
.....................\visualize_map.m
.....................\visualize_model.m
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