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

Cita questo

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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.",
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AU - Rizzo, Riccardo

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AB - 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.

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JO - IEEE Transactions on Neural Networks and Learning Systems

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