A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps

Antonio Chella, Riccardo Rizzo

Risultato della ricerca: Article

14 Citazioni (Scopus)

Abstract

In this letter, a preliminary study of habituation in self-organizing networks is reported. The habituation model implemented allows us to obtain a faster learning process and better clustering performances. The habituable neuron is a generalization of the typical neuron and can be used in many self-organizing network models. The habituation mechanism is implemented in a SOM and the clustering performances of the network are compared to the conscience learning mechanism that follows roughly the same principle but is less sophisticated.
Lingua originaleEnglish
pagine (da-a)807-810
Numero di pagine4
RivistaIEEE Transactions on Neural Networks
Volume17
Stato di pubblicazionePublished - 2006

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Self organizing maps
Neurons

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps. / Chella, Antonio; Rizzo, Riccardo.

In: IEEE Transactions on Neural Networks, Vol. 17, 2006, pag. 807-810.

Risultato della ricerca: Article

Chella, A & Rizzo, R 2006, 'A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps', IEEE Transactions on Neural Networks, vol. 17, pagg. 807-810.
Chella A, Rizzo R. A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps. IEEE Transactions on Neural Networks. 2006;17:807-810.
Chella, Antonio ; Rizzo, Riccardo. / A Comparison between Habituation and Conscience mechanism in Self–Organizing Maps. In: IEEE Transactions on Neural Networks. 2006 ; Vol. 17. pagg. 807-810.
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