DocumentCode
1948019
Title
Online training of Hierarchical RBF
Author
Bellocchio, Francesco ; Ferrari, Stefano ; Piuri, Vincenzo ; Borghese, N. Alberto
Author_Institution
Milano Univ., Milan
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
2159
Lastpage
2164
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371292
Filename
4371292
Link To Document