Optimizing lattice-based associative memory networks by evolutionary algorithms

Citation
I. Renners et A. Grauel, Optimizing lattice-based associative memory networks by evolutionary algorithms, INF SCI, 136(1-4), 2001, pp. 69-84
Citations number
15
Categorie Soggetti
Information Tecnology & Communication Systems
Journal title
INFORMATION SCIENCES
ISSN journal
00200255 → ACNP
Volume
136
Issue
1-4
Year of publication
2001
Pages
69 - 84
Database
ISI
SICI code
0020-0255(200108)136:1-4<69:OLAMNB>2.0.ZU;2-K
Abstract
Problem specific network structure optimization subsumes the problem of inp ut selection and network topology identification. Requirements to the netwo rk should be accuracy and good generalization abilities. In this contributi on we describe in detail an evolutionary algorithm which performs both task s well. Furthermore, approximation results on mathematical and real world d ata are presented. In this case we used lattice-based associative memory ne tworks (LB-AMNs) using B-splines as basis functions. The method here is not restricted to B-splines as basis functions. The proposed method and algori thm can be seen as optimized classification system. (C) 2001 Published by E lsevier Science Inc.