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Titlebook: Memristor Computing Systems; Leon O. Chua,Ronald Tetzlaff,Angela Slavova Book 2022 Springer Nature Switzerland AG 2022 Memristor Computer

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發(fā)表于 2025-3-21 17:21:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Memristor Computing Systems
編輯Leon O. Chua,Ronald Tetzlaff,Angela Slavova
視頻videohttp://file.papertrans.cn/631/630540/630540.mp4
概述Presents multiple perspectives on modeling and implementing memristor computing systems.Utilises illustrations, modeling tools, and real-world examples to explain concepts fully.Suggests new algorithm
圖書(shū)封面Titlebook: Memristor Computing Systems;  Leon O. Chua,Ronald Tetzlaff,Angela Slavova Book 2022 Springer Nature Switzerland AG 2022 Memristor Computer
描述.This contributed volume offers practical solutions and design-, modeling-, and implementation-related insights that address current research problems in memristors, memristive devices, and memristor computing. ..The book studies and addresses related challenges in and proposes solutions for the future of memristor computing. State-of-the-art research on memristor modeling, memristive interconnections, memory circuit architectures,? software simulation tools, and applications of memristors in computing are presented. Utilising contributions from numerous experts in the field, written in clear language and illustrated throughout, this book is a comprehensive reference work...Memristor Computing Systems. explains memristors and memristive devices in an accessible way for graduate students and researchers with a basic knowledge of electrical and control systems engineering, as well as prompting further research for more experienced academics..
出版日期Book 2022
關(guān)鍵詞Memristor Computer Systems; Cellular Nanoscale Networks; Memristor Computing; Memristor CNN; Neuromorphi
版次1
doihttps://doi.org/10.1007/978-3-030-90582-8
isbn_softcover978-3-030-90584-2
isbn_ebook978-3-030-90582-8
copyrightSpringer Nature Switzerland AG 2022
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978-3-030-90584-2Springer Nature Switzerland AG 2022
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https://doi.org/10.1007/978-3-030-90582-8Memristor Computer Systems; Cellular Nanoscale Networks; Memristor Computing; Memristor CNN; Neuromorphi
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Gianluca Zoppo,Francesco Marrone,Keyong-Sik Min,Fernando Corinto
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Tunable Chaos in Memristor Circuits for Pattern Recognition Taskses to tune the dynamical attractors. The study of lower order dynamics on invariant manifolds and their analytic expressions are the fundamental tools for a comprehensive analysis of synchronization phenomena in networks of memristor-based Chua’s circuits.
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