Outer synchronization and outer H synchronization for coupled fractional-order reaction-diffusion neural networks with multiweights.

IF 6 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Jin-Liang Wang, Si-Yang Wang, Yan-Ran Zhu, Tingwen Huang
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引用次数: 0

Abstract

This paper introduces multiple state or spatial-diffusion coupled fractional-order reaction-diffusion neural networks, and discusses the outer synchronization and outer H synchronization problems for these coupled fractional-order reaction-diffusion neural networks (CFRNNs). The Lyapunov functional method, Laplace transform and inequality techniques are utilized to obtain some outer synchronization conditions for CFRNNs. Moreover, some criteria are also provided to make sure the outer H synchronization of CFRNNs. Finally, the derived outer and outer H synchronization conditions are validated on the basis of two numerical examples.

多权重耦合分数阶反应扩散神经网络的外同步和外 H∞ 同步
本文介绍了多态或空间扩散耦合分数阶反应扩散神经网络,并讨论了这些耦合分数阶反应扩散神经网络(CFRNN)的外同步和外H∞同步问题。利用李亚普诺夫函数法、拉普拉斯变换和不等式技术,得到了 CFRNN 的一些外同步条件。此外,还提供了一些标准来确保 CFRNN 的外同步 H∞。最后,基于两个数值示例验证了推导出的外同步和外 H∞ 同步条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Neural Networks
Neural Networks 工程技术-计算机:人工智能
CiteScore
13.90
自引率
7.70%
发文量
425
审稿时长
67 days
期刊介绍: Neural Networks is a platform that aims to foster an international community of scholars and practitioners interested in neural networks, deep learning, and other approaches to artificial intelligence and machine learning. Our journal invites submissions covering various aspects of neural networks research, from computational neuroscience and cognitive modeling to mathematical analyses and engineering applications. By providing a forum for interdisciplinary discussions between biology and technology, we aim to encourage the development of biologically-inspired artificial intelligence.
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