In this paper the learning capabilities of a class of neural networks named Stochastic Approximate Identity Neural Networks (SAINNs) have been analyzed. In particular these networks are able to approximate a large class of stochastic processes from the knowledge of their covariance function.
Learning of SAINNs from covariance function: Historical learning / Crippa, Paolo; Turchetti, Claudio. - 2773:(2003), pp. 177-183. [10.1007/b12002]
Learning of SAINNs from covariance function: Historical learning
CRIPPA, Paolo;TURCHETTI, Claudio
2003-01-01
Abstract
In this paper the learning capabilities of a class of neural networks named Stochastic Approximate Identity Neural Networks (SAINNs) have been analyzed. In particular these networks are able to approximate a large class of stochastic processes from the knowledge of their covariance function.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
