A SOM Based Method for Classes Overlap Degree Evaluation

In a classification problem, the most difficult decision is to choose the artificial neural network (ANN) architecture that offers the best results. In this paper we present a method that permits to quickly evaluate the degree of overlapping between classes. Once we know this degree, we can easily choose the appropriate ANN architecture.