On-line adaptive RBF network in stationary and nonstationary environment

Author

Todorovic, Branimir ; Stankovic, Miomir ; Todorovic-Zarkula, Slavica

Author_Institution

Fac. of Occupational Safety, Nis Univ., Yugoslavia

Volume

2

fYear

2000

fDate

2000

Firstpage

453

Abstract

Sequential adaptation of RBF network parameters and structure is achieved using extended Kalman filter (EKF). Criterion for network growing is obtained from Kalman filter´s consistency test The optimal brain surgeon and optimal brain damage pruning methods are derived for networks which parameters are estimated by EKF. Criteria for neurons/connections pruning are based on the statistical parameter significance test.

Keywords

Kalman filters; filtering theory; online operation; optimisation; parameter estimation; radial basis function networks; statistical analysis; EKF; RBF network parameters; RBF network structure; extended Kalman filter; nonstationary environment; online adaptive RBF network; optimal brain damage pruning method; optimal brain surgeon pruning method; sequential adaptation; stationary environment; statistical parameter significance test; Adaptive systems; Artificial neural networks; Intelligent networks; Kalman filters; Neurons; Parameter estimation; Quantum cascade lasers; Radial basis function networks; Surges; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrotechnical Conference, 2000. MELECON 2000. 10th Mediterranean

Print_ISBN

0-7803-6290-X

Type

conf

DOI

10.1109/MELCON.2000.879968

Filename

879968