Global μ− stability of quaternion-valued neural networks with non-differentiable time-varying delays
H Shu, Q Song, Y Liu, Z Zhao, FE Alsaadi - Neurocomputing, 2017 - Elsevier
In the paper, the quaternion-valued neural networks (QVNNs) with non-differentiable time-
varying delays are considered. Firstly, by using the method of plural decomposition, we …
varying delays are considered. Firstly, by using the method of plural decomposition, we …
Global μ− stability of quaternion-valued neural networks with non-differentiable time-varying delays
H Shu, Q Song, Y Liu, Z Zhao, FE Alsaadi - Neurocomputing, 2017 - infona.pl
In the paper, the quaternion-valued neural networks (QVNNs) with non-differentiable time-
varying delays are considered. Firstly, by using the method of plural decomposition, we …
varying delays are considered. Firstly, by using the method of plural decomposition, we …
Global stability of quaternion-valued neural networks with non-differentiable time-varying delays
H Shu, Q Song, Y Liu, Z Zhao, FE Alsaadi - Neurocomputing, 2017 - dl.acm.org
In the paper, the quaternion-valued neural networks (QVNNs) with non-differentiable time-
varying delays are considered. Firstly, by using the method of plural decomposition, we …
varying delays are considered. Firstly, by using the method of plural decomposition, we …
Global μ− stability of quaternion-valued neural networks with non-differentiable time-varying delays
H Shu, Q Song, Y Liu, Z Zhao, FE Alsaadi - Neurocomputing, 2017 - ksascholar.dri.sa
In the paper, the quaternion-valued neural networks (QVNNs) with non-differentiable time-
varying delays are considered. Firstly, by using the method of plural decomposition, we …
varying delays are considered. Firstly, by using the method of plural decomposition, we …