REDUCED-SIZE NEURAL NETWORKS THROUGH SINGULAR-VALUE DECOMPOSITION ANDSUBSET-SELECTION

Authors
KANJILAL PP DEY PK BANERJEE DN
Citation
Pp. Kanjilal et al., REDUCED-SIZE NEURAL NETWORKS THROUGH SINGULAR-VALUE DECOMPOSITION ANDSUBSET-SELECTION, Electronics Letters, 29(17), 1993, pp. 1516-1518
Citations number
5
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
Electronics Letters → ACNP
ISSN journal
00135194
Volume
29
Issue
17
Year of publication
1993
Pages
1516 - 1518
Database
ISI
SICI code
0013-5194(1993)29:17<1516:RNNTSD>2.0.ZU;2-3
Abstract
Singular value decomposition (SVD) can lead to compaction of informati on, and along with QR with column pivoting (QRcp) factorisation can be used for subset selection. The Letter proposes an application of SVD and subset selection for optimising the size of feedforward neural net works; the Mackey Glass (MG) series is used as an example.