Abstract: An online procedure for configuring the parameters of a hierarchical radial basis functions (HRBF) network is presented here.

Efficient multi-scale manifold reconstruction from point clouds can be obtained through the Hierarchical Radial Basis Function (HRBF) network. An online ...

This batch HRBF training procedure exploits the knowl- edge of the entire input dataset, and adopts local estimates to setup the network parameters. The only ...

An online procedure for configuring the parameters of a hierarchical radial basis functions (HRBF) network is presented here. The proposed procedure has ...

Sep 12, 2007 · Efficient multi-scale manifold reconstruction from point clouds can be obtained through the Hierarchical Radial Basis Function (HRBF) ...

An online procedure for configuring the parame- ters of a Hierarchical Radial Basis Functions (HRBF) network is presented here. The proposed procedure has ...

1 Introduction Online learning is a widely diffused learning modality in neural networks [1][2]. · 2 The HRBF Model Let us assume that the manifold can be ...

RBF networks represent a vital alternative to the widely used multilayer perceptron neural networks. In this paper we present and examine several learning ...

Francesco Bellocchio, Stefano Ferrari , Vincenzo Piuri, N. Alberto Borghese: Online training of Hierarchical RBF. IJCNN 2007: 2159-2164.

Dec 11, 2009 · In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model ...