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
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.
2003
9783540408031
3-540-40803-7
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/42844
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