Global Exponential Stability of Commutative Quaternion-Valued Neural Networks With Time Varying Delays
The global exponential stability of commutative quaternion-valued neural networks (CQVNNs) with time varying delays is investigated in this paper. Considering that the Schwartz triangle inequality is not satisfied in the commutative quaternion field, the CQVNNs are isolated into real-valued neural n...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9154707/ |