Local modelling with radial basis function networks (vol 50, pg 179, 2000)

Citation
B. Walczak et Dl. Massart, Local modelling with radial basis function networks (vol 50, pg 179, 2000), CHEM INTELL, 51(2), 2000, pp. 217
Citations number
36
Categorie Soggetti
Spectroscopy /Instrumentation/Analytical Sciences
Journal title
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
ISSN journal
01697439 → ACNP
Volume
51
Issue
2
Year of publication
2000
Database
ISI
SICI code
0169-7439(20000724)51:2<217:LMWRBF>2.0.ZU;2-X
Abstract
Different types of radial basis function networks (RBFN) training algorithm s are described and compared. Advantages and drawbacks of some of these alg orithms are demonstrated on simulated and real data. Interpretability of th e final models is emphasized. (C) 2000 Elsevier Science B.V. All rights res erved.