出版社：Dep. of Statistical Sciences "Paolo Fortunati", Università di Bologna
摘要：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.
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