Usually the Hebbian learning spontaneously seems to produce associative memory behaviour in the network where they are applied. The unsupervised learning performed by the Hebbian rule, automaticaly creates associations into the network as soon as the responses to the inputs are computed. The paradigm we are discussing here is different from the classical unsupervised learning paradigm, and it is a quite general solution for the implementation of a a Hebbian rule in a Boolean neural network. Our system may not be seen as an associative memory only, it is both a controller and a classifier

A General Assembly as implementation of a Hebbian rule in a Boolean Neural Network / F., Lauria; M., Milo; Prevete, Roberto; S., Visco. - STAMPA. - (1999), pp. 266-271. (Intervento presentato al convegno Neural nets, WIRN Vietri-99 tenutosi a Vietri sul Mare, Salerno, Italy nel 20-22 May 1999}).

A General Assembly as implementation of a Hebbian rule in a Boolean Neural Network

PREVETE, ROBERTO;
1999

Abstract

Usually the Hebbian learning spontaneously seems to produce associative memory behaviour in the network where they are applied. The unsupervised learning performed by the Hebbian rule, automaticaly creates associations into the network as soon as the responses to the inputs are computed. The paradigm we are discussing here is different from the classical unsupervised learning paradigm, and it is a quite general solution for the implementation of a a Hebbian rule in a Boolean neural network. Our system may not be seen as an associative memory only, it is both a controller and a classifier
1999
9781852331771
A General Assembly as implementation of a Hebbian rule in a Boolean Neural Network / F., Lauria; M., Milo; Prevete, Roberto; S., Visco. - STAMPA. - (1999), pp. 266-271. (Intervento presentato al convegno Neural nets, WIRN Vietri-99 tenutosi a Vietri sul Mare, Salerno, Italy nel 20-22 May 1999}).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/493026
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