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Fault Tolerance for faults in Artificial Neural Networks: Robust Fault Tolerance for Multinode faults in RBF Neural Networks - Couverture souple

V, Saritha

 
9786200324030: Fault Tolerance for faults in Artificial Neural Networks: Robust Fault Tolerance for Multinode faults in RBF Neural Networks
Couverture souple
ISBN 10 : 6200324034 ISBN 13 : 9786200324030
Editeur : LAP LAMBERT Academic Publishing, 2019

Synopsis

This bookk addresses the fault tolerance of RBF networks where all hidden nodes have the same fault rate and their fault probabilities are independent. Assuming that there is a Gaussian distributed noise in the output data, we have derived an objective function for robustly training an RBF network based on the Kullback–Leibler divergence. We also find that for a fault-tolerance regularizer some eigenvalues of the regularization matrix should be negative. For the Tipping’s regularizer and the OLS regularizer, the regularization matrices are positive or semipositive definite. Hence, they cannot efficiently handle the multinode open fault.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2019
Langue
anglais
ISBN 10 
6200324034
ISBN 13 
9786200324030
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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