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Titolo:
Life-long learning Cell Structures - continuously learning without catastrophic interference
Autore:
Hamker, FH;
Indirizzi:
CALTECH, Div Biol 139 74, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 CH, Div Biol 139 74, Pasadena, CA 91125 USA
Titolo Testata:
NEURAL NETWORKS
fascicolo: 4-5, volume: 14, anno: 2001,
pagine: 551 - 573
SICI:
0893-6080(200105)14:4-5<551:LLCS-C>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
NEURAL-NETWORK ARCHITECTURE; CONNECTIONIST MODELS; FUZZY ARTMAP; INPUT SPACE; RECOGNITION; HIPPOCAMPUS; CLASSIFICATION; ALGORITHM; MEMORY; MAPS;
Keywords:
life-long learning; continuously learning; incremental learning; stability-plasticity dilemma; catastrophic interference; radial basis function; cell structures;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
58
Recensione:
Indirizzi per estratti:
Indirizzo: Hamker, FH CALTECH, Div Biol 139 74, Pasadena, CA 91125 USA CALTECH Pasadena CA USA 91125 l 139 74, Pasadena, CA 91125 USA
Citazione:
F.H. Hamker, "Life-long learning Cell Structures - continuously learning without catastrophic interference", NEURAL NETW, 14(4-5), 2001, pp. 551-573

Abstract

As an extension of on-line learning, life-long learning challenges a system which is exposed to patterns from a changing environment during its entire lifespan. An autonomous system should not only integrate new knowledge on-line into its memory. but also preserve the knowledge learned by previous interactions. Thus, life-long learning implies the fundamental Stability-plasticity Dilemma, which addresses the problem of learning new patterns without forgetting old prototype patterns. We propose an extension to the knownCell Structures. growing Radial Basis Function-like networks, that enablesthem to learn their number of nodes needed to solve a current task and to dynamically adapt the learning rate of each node separately. As shown in several simulations, the resulting Life-long Learning Cell Structures posses the major characteristics needed to cope with the Stability-Plasticity Dilemma. (C) 2001 Elsevier Science Ltd. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 05/04/20 alle ore 07:09:23