Title :
An On-line Learning Algorithm for RBF Networks and its Application to Ship Inverse Control
Author :
Bi, Gexian ; Dong, Fana
Author_Institution :
Coll. of Navig., Dalian Maritime Univ., Dalian
Abstract :
An on-line learning algorithm is introduced referred to as dynamic orthogonal structure adaptation (DOSA) algorithm for constructing radial basis function (RBF) networks with variable network structure. The RBF network is on-line adapted for both network structure and connecting parameters. Based on DOSA algorithm, an inverse control strategy is proposed and applied to ship control. Simulation results of ship course control experiment demonstrate the applicability and effectiveness of the proposed inverse control strategy.
Keywords :
learning (artificial intelligence); navigation; radial basis function networks; ships; RBF Networks; dynamic orthogonal structure adaptation; inverse control; on-line learning algorithm; radial basis function networks; Computational intelligence; Marine vehicles; Radial basis function networks; Radial basis function network; inverse control; system identification;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.149
