An online procedure for configuring the parameters of a Hierarchical Radial Basis Functions (HRBF) network is presented here. The proposed procedure has been implemented and applied to a problem of real-time surface reconstruction. Results show that the algorithm trained online well compares with the batch version.
Online training of hierarchical RBF / F. Bellocchio, S. Ferrari, V. Piuri, N.A. Borghese - In: The 2007 International joint conference on neural networks : IJCNN 2007 conference proceedings : Orlando, Florida, USA, august 12-17 2007 / [a cura di] [s.n.]. - Piscataway : Institute of electrical and electronics engineers, 2007 Aug. - ISBN 9781424413805. - pp. 2159-2164 (( convegno International Joint Conference on Neural Networks (IJCNN) tenutosi a Orlando, USA nel 2007.
Online training of hierarchical RBF
F. BellocchioPrimo
;S. FerrariSecondo
;V. PiuriPenultimo
;N.A. BorgheseUltimo
2007
Abstract
An online procedure for configuring the parameters of a Hierarchical Radial Basis Functions (HRBF) network is presented here. The proposed procedure has been implemented and applied to a problem of real-time surface reconstruction. Results show that the algorithm trained online well compares with the batch version.
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