State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol

Title
State estimation for a class of artificial neural networks with stochastically corrupted measurements under Round-Robin protocol
Authors
Keywords
Artificial neural network, State estimation, Round-Robin protocol, Noise intensity function, Nonlinearity, Activation function
Journal
NEURAL NETWORKS
Volume 77, Issue -, Pages 70-79
Publisher
Elsevier BV
Online
2016-02-03
DOI
10.1016/j.neunet.2016.01.001

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