Using Artificial Neural Networks for Mapping of Science and technology: a multi self-organizing Maps approach

Xavier Polanco; Claire François; Jean-Charles Lamirel

Journal Articles Scientometrics Year : 2001

Using Artificial Neural Networks for Mapping of Science and technology: a multi self-organizing Maps approach

(1) , (1) , (2)

1
2

Xavier Polanco

Function : Author

University of Rhode Island

Claire François

Function : Author

University of Rhode Island

Jean-Charles Lamirel

Function : Author
PersonId : 8202
IdHAL : jean-charles-lamirel

Neuromimetic intelligence

Abstract

Resume non disponible pour l'instant

Keywords

réseaux neuronaux extensions du modèle som analyse de l'information adaptive model neural networks som extensions information analizis modèles adaptatifs

Domains

Other [cs.OH]

Publications Loria : Connect in order to contact the contributor

https://inria.hal.science/inria-00100636

Submitted on : Tuesday, September 26, 2006-2:48:32 PM

Last modification on : Thursday, February 15, 2024-3:32:10 AM

Dates and versions

inria-00100636 , version 1 (26-09-2006)

Identifiers

HAL Id : inria-00100636 , version 1

Cite

Xavier Polanco, Claire François, Jean-Charles Lamirel. Using Artificial Neural Networks for Mapping of Science and technology: a multi self-organizing Maps approach. Scientometrics, 2001, 51 (1), pp.267-292. ⟨inria-00100636⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

UNIV-RENNES1 CNRS INRIA IRISA UNIV-LORRAINE INRIA2 LORIA UR1-MATH-STIC UR1-UFR-ISTIC UNIV-RENNES UR1-MATH-NUM

107 View

0 Download

Using Artificial Neural Networks for Mapping of Science and technology: a multi self-organizing Maps approach

Abstract

Keywords

Domains

Dates and versions

Identifiers

Cite

Export

Collections

Share