Synchronization control of a class of memristor-based recurrent neural networks
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Frequency dependence of hysteresis loops is physically necessary for any system with memory.
“Note that this is physically necessary for any system with memory [65].”
From On the validity of memristor modeling in the neural network literature (2020) · cites this paper as [65]
Cites
Strukov, D. B., Snider, G. S., Stewart, D. R., & Williams, R. S. (2008) · Nature · doi:10.1038/nature06932 · Cited by 11,744 · see citing works
Memristor—The Missing Circuit Element
Chua, L. (1971) · IEEE Transactions on Circuit Theory · doi:10.1109/tct.1971.1083337 · Cited by 10,268 · cited 3× · see citing works
“Chua in 1971 proposed from symmetry arguments that there should be a fourth fundamental element, which he called a memristor, besides the fundamental passive circuit elements: resistor, capacitor and inductor.”
BackgroundInfluentialTour, J. M., & He, T. (2008) · Nature · doi:10.1038/453042a · Cited by 504 · see citing works
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Hardware Implementation of Neuromorphic Computing Using Large‐Scale Memristor Crossbar Arrays
Li, Y., & Ang, K.-W. (2021) · Advanced Intelligent Systems · doi:10.1002/aisy.202000137 · Cited by 220 · see citing works
Circuit design and exponential stabilization of memristive neural networks
Wen, S., Huang, T., Zeng, Z., Chen, Y., & Li, P. (2015) · Neural Networks · doi:10.1016/j.neunet.2014.10.011 · Cited by 178 · see citing works
Self-citationOn the validity of memristor modeling in the neural network literature
Pershin, Y. V., & Di Ventra, M. (2020) · Neural Networks · doi:10.1016/j.neunet.2019.08.026 · Cited by 49 · see citing works
“ristive” neural networks (MNNs) published during the last decade [1–60] (note that this list may be incomplete, as”
BackgroundMethod
- Authors
- Wu, A., Wen, S., & Zeng, Z.
- Affiliations
- Huazhong University of Science and Technology (CN)
- Corresponding author
- Wu, Ailong
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2012-01
- Volume
- 183
- Issue
- 1
- Pages
- 106-116
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W1993522825
- Cited by
- 384
- References
- 3
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 9 · 2023: 16 · 2022: 7 · 2021: 15 · 2020: 34 · 2019: 46 · 2018: 35 · 2017: 50 · 2016: 33 · 2015: 45 · 2014: 45 · 2013: 22 · 2012: 15
- FWCI
- 34.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Sciences (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Neural Networks Stability and Synchronization
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
- Keywords
- memristor-based neural networks, recurrent neural networks, synchronization control, exponential synchronization, coupled networks, master-slave synchronization, differential inclusions, discontinuous right-hand side, Lyapunov functional
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