Complete synchronization of discrete-time fractional-order BAM neural networks with leakage and discrete delays

IF 6 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

Abstract

This paper concerns complete synchronization (CS) problem of discrete-time fractional-order BAM neural networks (BAMNNs) with leakage and discrete delays. Firstly, on the basis of Caputo fractional difference theory and nabla l-Laplace transform, two equations about the nabla sum are strictly proved. Secondly, two extended Halanay inequalities that are suitable for discrete-time fractional difference inequations with arbitrary initial time and multiple types of delays are introduced. In addition, through applying Caputo fractional difference theory and combining with inequalities gained from this paper, some sufficient CS criteria of discrete-time fractional-order BAMNNs with leakage and discrete delays are established under adaptive controller. Finally, one numerical simulation is utilized to certify the effectiveness of the obtained theoretical results.

具有泄漏和离散延迟的离散时间分数阶 BAM 神经网络的完全同步化
本文涉及具有泄漏和离散延迟的离散时间分数阶 BAM 神经网络(BAMNN)的完全同步(CS)问题。首先,在 Caputo 分数差分理论和 nabla l-Laplace 变换的基础上,严格证明了关于 nabla 和的两个方程。其次,引入了两个适用于具有任意初始时间和多种延迟的离散时间分数差分不等式的扩展哈拉内不等式。此外,通过应用 Caputo 分数差分理论并结合本文获得的不等式,建立了自适应控制器下具有泄漏和离散延迟的离散时间分数阶 BAMNN 的一些充分 CS 准则。最后,本文利用数值模拟验证了所获理论结果的有效性。
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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