Improved SOM Learning using Simulated Annealing (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Improved SOM Learning using Simulated Annealing (Articolo in rivista) (literal)

Anno

• 2007-01-01T00:00:00+01:00 (literal)

Alternative label

• Fiannaca Antonino; Di Fatta Giuseppe; Gaglio Salvatore; Rizzo Riccardo; Urso Alfonso (2007)
  Improved SOM Learning using Simulated Annealing
  in Lecture notes in computer science
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Fiannaca Antonino; Di Fatta Giuseppe; Gaglio Salvatore; Rizzo Riccardo; Urso Alfonso (literal)

Pagina inizio

• 279 (literal)

Pagina fine

• 288 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 4668 (literal)

Rivista

• Lecture notes in computer science (Rivista)

Note

• ISI Web of Science (WOS) (literal)
• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• ICAR CNR, Palermo, Italy (literal)

Titolo

• Improved SOM Learning using Simulated Annealing (literal)

Abstract

• Self-Organizing Map (SOM) algorithm has been extensively used for analysis and classification problems. For this kind of problems, datasets become more and more large and it is necessary to speed up the SOM learning. In this paper we present an application of the Simulated Annealing (SA) procedure to the SOM learning algorithm. The goal of the algorithm is to obtain fast learning and better performance in terms of matching of input data and regularity of the obtained map. An advantage of the proposed technique is that it preserves the simplicity of the basic algorithm. Several tests, carried out on different large datasets, demonstrate the effectiveness of the proposed algorithm in comparison with the original SOM and with some of its modification introduced to speed-up the learning (literal)

Prodotto di

• Institute for high performance computing and networking (ICAR) (Istituto)
• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)

Autore CNR

• ALFONSO URSO (Unità di personale interno)

Incoming links:

Prodotto

• Institute for high performance computing and networking (ICAR) (Istituto)
• F.A.C.I.L.E. - Framework ad agenti cognitivi per la gestione e fruizione intelligente di informazioni sensoriali, conoscenze e servizi avanzati (ICT.P08.003.001) (Modulo)

Autore CNR di

• ALFONSO URSO (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Lecture notes in computer science (Rivista)