kohonen_cpann_toolbox

所属分类matlab例程
开发工具:matlab
文件大小:293KB
下载次数:19
上传日期:2009-04-06 19:52:12
上 传 者宁宁
说明:  Kohonen and CPANN toolbox是开发的一个MATLAB工具箱,用来对数据结构进行研究和分类。
(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). )

文件列表:[举报垃圾]
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
example_visualize_1.gif
example_visualize_2.gif
example_visualize_3.gif
example_visualize_4.gif
example_visualize_5.gif
.....................\....\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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