非局部随机模糊科恩-格罗斯伯格晶格神经网络的近似自动行为
IF 2.4
4区 计算机科学
Q2 COMPUTER SCIENCE, THEORY & METHODS
引用次数: 0
摘要
离散时间科恩-格罗斯伯格神经网络（CGNN）在反馈神经网络中发挥着重要作用。现有文献对离散时间科恩-格罗斯伯格神经网络（CGNNs）的研究只考虑了积分阶离散时间模型，而没有考虑其他...本文章由计算机程序翻译，如有差异，请以英文原文为准。
Almost automorphic behaviours of nonlocal stochastic fuzzy Cohen–Grossberg lattice neural networks
Discrete-time Cohen–Grossberg neural networks (CGNNs) play important role in feedback neural networks. The existing literatures of CGNNs only regarded integral order discrete-time models without ot...
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来源期刊
International Journal of General Systems
工程技术-计算机：理论方法
CiteScore
4.10
自引率
20.00%
发文量
38
审稿时长
6 months
期刊介绍：
International Journal of General Systems is a periodical devoted primarily to the publication of original research contributions to system science, basic as well as applied. However, relevant survey articles, invited book reviews, bibliographies, and letters to the editor are also published.
The principal aim of the journal is to promote original systems ideas (concepts, principles, methods, theoretical or experimental results, etc.) that are broadly applicable to various kinds of systems. The term “general system” in the name of the journal is intended to indicate this aim–the orientation to systems ideas that have a general applicability. Typical subject areas covered by the journal include: uncertainty and randomness; fuzziness and imprecision; information; complexity; inductive and deductive reasoning about systems; learning; systems analysis and design; and theoretical as well as experimental knowledge regarding various categories of systems. Submitted research must be well presented and must clearly state the contribution and novelty. Manuscripts dealing with particular kinds of systems which lack general applicability across a broad range of systems should be sent to journals specializing in the respective topics.
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