Le reti neurali in problemi di classificazione: una soluzione basata sui metodi di segmentazione binaria

Authors

  • Marilena Pillati Alma Mater Studiorum - Università di Bologna

DOI:

https://doi.org/10.6092/issn.1973-2201/1186

Abstract

In this paper the use of neural networks in the solution of a classification problem is described and a non parametric classifier which combines radial basis function networks (RBF networks) and binary classification trees is proposed. It is shown that from a classification tree a class of RBF networks can be derived, whose elements differ in the degree of dependence from the discriminant rules described by the tree. A simulation study based on a two-class problem shows that the proposal represents a valid solution, particularly in presence of noisy variables.

How to Cite

Pillati, M. (2001). Le reti neurali in problemi di classificazione: una soluzione basata sui metodi di segmentazione binaria. Statistica, 61(3), 407–421. https://doi.org/10.6092/issn.1973-2201/1186

Issue

Section

Articles