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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 |
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