Exponential synchronisation for delayed Clifford-valued coupled switched neural networks via static event-triggering rule
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DOI: 10.1080/00207721.2023.2301498
Abstract: In the paper, the exponential synchronisation for delayed Clifford-valued coupled switched neural networks via static event-triggering rule is studied. Firstly, the drive-response systems for delayed Clifford-valued coupled neural network models are established. So as to… read more here.
Keywords: valued coupled; delayed clifford; clifford valued; clifford ... See more keywords
Globally Asymptotic Almost Automorphic Synchronization of Clifford-Valued RNNs With Delays
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DOI: 10.1109/access.2019.2912838
Abstract: In this paper, we consider a class of Clifford-valued recurrent neural networks (RNNs) with discrete and infinitely distributed delays. In order to overcome the non-commutativity of the multiplication of Clifford numbers, we first transform the… read more here.
Keywords: clifford; almost automorphic; valued rnns; globally asymptotic ... See more keywords
Finite-Time Synchronization of Clifford-Valued Neural Networks With Infinite Distributed Delays and Impulses
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DOI: 10.1109/access.2021.3102585
Abstract: We study the issue of finite-time synchronization pertaining to a class of Clifford-valued neural networks with discrete and infinite distributed delays and impulse phenomena. Since multiplication of Clifford numbers is of non-commutativity, we decompose the… read more here.
Keywords: finite time; clifford; time synchronization; clifford valued ... See more keywords
Clifford-Valued Distributed Optimization Based on Recurrent Neural Networks.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3139865
Abstract: In this paper, we address the Clifford-valued distributed optimization subject to linear equality and inequality constraints. The objective function of the optimization problems is composed of the sum of convex functions defined in the Clifford… read more here.
Keywords: neural networks; distributed optimization; valued distributed; clifford valued ... See more keywords