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Almost automorphic solutions for Clifford-valued neutral-type fuzzy cellular neural networks with leakage delays on time scales

机译:几乎具有克利福德中性型模糊蜂窝神经网络的自同步解决方案,泄漏延迟时尺度

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We propose a class of Clifford-valued neutral-type fuzzy cellular neural network models with leakage delays on time scales, give the definition and basic properties of Clifford-valued almost automorphic functions on time scales, and prove a composition theorem of Clifford-valued almost automorphic functions on time scales, and on this basis, we study the existence and global exponential stability of almost automorphic solutions of this class of neural networks. The research in this paper can unify the research of real-valued neural networks, complex-valued neural networks and quaternion-valued neural networks, as well as the research of continuous-time neural networks and discrete-time neural networks. Finally, an example illustrates the feasibility of the results obtained. (C) 2020 Elsevier B.V. All rights reserved.
机译:我们提出了一类克利福尔值中型中性型模糊型模糊蜂窝神经网络模型,随着时间尺度泄漏延迟,给出了克利福德的定义和基本属性在时间尺度上,并证明了几乎克利福德估价的构图定理在时间尺度上的自动函数,在此基础上,我们研究了这类神经网络的几乎同时的存在和全球指数稳定性。本文的研究可以统一对真实的神经网络,复合性神经网络和四元值的神经网络的研究,以及连续时间神经网络和离散时间神经网络的研究。最后,一个示例说明了所获得的结果的可行性。 (c)2020 Elsevier B.v.保留所有权利。

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