Fault Tolerance for faults in Artificial Neural Networks: Robust Fault Tolerance for Multinode faults in RBF Neural Networks okumak kayıt olmadan

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

Bilgisayarlar ve İnternet

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.

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Vismont Studios Emily Grace 13 Şubat 2020 15 x 0,4 x 22 cm 21 Ocak 2019 25 Eylül 2019 Kolektif Maya Violet Prof Philip M. Parker Ph.D. 21,6 x 1,9 x 27,9 cm 21,6 x 2 x 27,9 cm Philip M. Parker Ph.D 5 Ocak 2017 3 Ocak 2017 21,6 x 1,7 x 27,9 cm 15,2 x 0,6 x 22,9 cm 20 Kasım 2020 1 x 15 x 21 cm

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