Stability of neural networks and solitons of field theory

Cited 6 time in webofscience Cited 7 time in scopus
  • Hit : 356
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorS. H. Hanko
dc.contributor.authorIn-Gyu Kohko
dc.date.accessioned2013-02-28T06:24:41Z-
dc.date.available2013-02-28T06:24:41Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1999-
dc.identifier.citationPHYSICAL REVIEW E, v.60, no.6, pp.7608 - 7611-
dc.identifier.issn1063-651X-
dc.identifier.urihttp://hdl.handle.net/10203/73232-
dc.description.abstractThe layers of a feed-forward neural network are interpreted as a cascade of field theories. The stability of the neural network is interpreted as the topological stability of kink solutions. An explicit example is shown for a three-class problem with their field theoretical Lagrangian equations. [S1063-651X(99)10112-0].-
dc.languageEnglish-
dc.publisherAMERICAN PHYSICAL SOC-
dc.titleStability of neural networks and solitons of field theory-
dc.typeArticle-
dc.identifier.wosid000084600700097-
dc.identifier.scopusid2-s2.0-4243171647-
dc.type.rimsART-
dc.citation.volume60-
dc.citation.issue6-
dc.citation.beginningpage7608-
dc.citation.endingpage7611-
dc.citation.publicationnamePHYSICAL REVIEW E-
dc.identifier.doi10.1103/PhysRevE.60.7608-
dc.contributor.localauthorIn-Gyu Koh-
dc.contributor.nonIdAuthorS. H. Han-
dc.type.journalArticleArticle-
Appears in Collection
PH-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 6 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0