AI Article Synopsis
- This paper explores how to achieve global synchronization in complex-valued neural networks (CVNNs) that experience delays that can change over time.
- By using mathematical analysis and strategies involving inequalities, the authors provide a new criterion to guarantee synchronization through a specified feedback controller, building on previous research.
- To demonstrate the practical application of their findings, the paper includes two numerical simulations and discusses how these results can be applied to image encryption.
Article Abstract
This paper investigates global synchronization of complex-valued neural networks (CVNNs) with unbounded time-varying delays. By applying analytical method and inequality techniques, an algebraic criterion is established to ensure global synchronization of the CVNNs via a devised feedback controller, which generalizes some existing outcomes. Finally, two numerical simulations and one application in image encryption are provided to verify the effectiveness of the theoretical results.
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| http://dx.doi.org/10.1016/j.neunet.2023.02.041 | DOI Listing |
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