A PREDICTOR BASED ON ADAPTIVE RESONANCE THEORY

Authors
PHAM DT SUKKAR MF
Citation
Dt. Pham et Mf. Sukkar, A PREDICTOR BASED ON ADAPTIVE RESONANCE THEORY, Artificial intelligence in engineering, 12(3), 1998, pp. 219-228
Citations number
12
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Artificial Intelligence",Engineering
Journal title
Artificial intelligence in engineering → ACNP
ISSN journal
09541810
Volume
12
Issue
3
Year of publication
1998
Pages
219 - 228
Database
ISI
SICI code
0954-1810(1998)12:3<219:APBOAR>2.0.ZU;2-Z
Abstract
This paper describes two alternative modifications to the self-organis ing ART2 neural network to enable it to act as a predictor of outputs from a dynamic system. The modifications are to make the vigilance par ameter self-adjusting and include a new learning sub-system for the F2 nodes. The paper presents the results of employing an ART2 network in corporating one of the proposed modifications to yield the outputs of two simulated dynamic systems. (C) 1998 Elsevier Science Limited. All rights reserved.