Supervised SOM Based Architecture versus Multilayer Perceptron and RBF Networks
David Gil, Magnus Johnsson · 2010
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 ar-chitecture generally achieves results as good as the MLP and slightly higher on some measures than the RBF network. 1