Title :
Online training of Hierarchical RBF
Author :
Bellocchio, Francesco ; Ferrari, Stefano ; Piuri, Vincenzo ; Borghese, N. Alberto
Author_Institution :
Milano Univ., Milan
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.
Keywords :
radial basis function networks; hierarchical RBF; hierarchical radial basis functions; online training; real-time surface reconstruction; Clouds; Computer science; Displays; Low pass filters; Neural networks; Radial basis function networks; Sampling methods; Shape; Statistical distributions; Surface reconstruction;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371292
