Kohonen and CPANN toolbox for matlab
Updated 26 Jan 2022
Kohonen and CPANN toolbox is a collection of MATLAB modules for developing Kohonen Maps, Counterpropagation Artificial Neural networs (CP-ANNs), Supervised Kohonen networks and XY-fused networks. These are well known neural networks aimed to the study of data structure (Kohonen Maps) and to classification purpouses (CP-ANNs, Supervised Kohonen networks, XY-fused networks).
MATLAB should be installed, while no other toolboxes are needed.
This is the version 4.5 of Kohonen and CP-ANN toolbox
Kohonen and CPANN toolbox has been released by Milano Chemometrics and QSAR research Group. Visit our website at www.michem.unimib.it
In order to install the toolbox, simply copy the files to a folder (e.g. "Kohonen and CPANN toolbox"). Then, in order to use it, select the same folder as MATLAB current directory.
Before starting calculations, please read the HELP files provided in HTML format. A complete guide on how to calculate models is provided.
Help files are provided in HTML format. Open the help.htm file in your favourite browser and read it!
The toolbox is freeware and may be used if proper reference is given to the authors. Preferably refer to the following papers:
D. Ballabio, V. Consonni, R. Todeschini (2009) The Kohonen and CP-ANN toolbox: a collection of MATLAB modules for Self Organizing Maps and Counterpropagation Artificial Neural Networks, Chemometrics and Intelligent Laboratory Systems, 98, 115-122
Ballabio D, Vasighi M.(2012) A MATLAB Toolbox for Self Organizing Maps and supervised neural network learning strategies. Chemometrics and Intelligent Laboratory Systems, 118, 24-32
The Kohonen and CPANN toolbox for MATLAB is distributed with an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence: https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to share - copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the following license terms: Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial - You may not use the material for commercial purposes. NoDerivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.
Ballabio D, Vasighi M. (2012) A MATLAB Toolbox for Self Organizing Maps and supervised neural network learning strategies. Chemometrics and Intelligent Laboratory Systems, 118, 24-32
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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