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Authors:David Gil: Computing Technology and Data Processing, University of Alicante, Spain
Magnus Johnsson: Lund University Cognitive Science, Lund, Sweden
Publication title:Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks
Conference:The Swedish AI Society Workshop May 20-21; 2010; Uppsala University
Publication type: Abstract and Fulltext
Issue:048
Article No.:005
Abstract:We address a contrastive study between the well known Multi-Layer Perceptron (MLP) and Radial Basis Function (RBF) neural networks and a SOM based supervised architecture in a number of data classification tasks. Well known databases like Breast Cancer; Parkinson and Iris were used to evaluate the three architectures by constructing confusion matrices. The results are encouraging and indicate that the SOM based supervised architecture generally achieves results as good as the MLP and slightly higher on some measures than the RBF network.
Language:English
Year:2010
No. of pages:10
Pages:15-24
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/048/005/ecp1048005.pdf
Available:2010-05-19
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
David Gil, Magnus Johnsson (2010). Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks, The Swedish AI Society Workshop May 20-21; 2010; Uppsala University http://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=005 (accessed 9/30/2014)