Counter-propagation neural networks in Matlab

The counter-propagation neural networks have been widely used by the chemometricians for more than fifteen years. This valuable tool for data analysis has been applied for solving many different chemometric problems. In this paper the implementation of counter-propagation neural networks in Matlab e...

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Bibliographic Details
Published in:Chemometrics and intelligent laboratory systems 2008-01, Vol.90 (1), p.84-91
Main Authors: Kuzmanovski, Igor, Novič, Marjana
Format: Article
Language:English
Subjects:
Classification
Counter-propagation neural networks
Kohonen self-organizing maps
Matlab
Regression
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Summary:The counter-propagation neural networks have been widely used by the chemometricians for more than fifteen years. This valuable tool for data analysis has been applied for solving many different chemometric problems. In this paper the implementation of counter-propagation neural networks in Matlab environment is described. The program presented here is an extension of Self-Organizing Maps Toolbox for Matlab that is not widely used by chemometricians. This program coupled with the excellent visualization tools available in Self-Organizing Maps Toolbox and with other valuable functions in this environment could be of great interest for analysis of chemical data. The use of the program is demonstrated on the development of the regression and classification models.
ISSN:0169-7439
1873-3239
DOI:10.1016/j.chemolab.2007.07.003