The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Global robust stability of delayed recurrent neural networks
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Citations
Cites
Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
Bidirectional associative memories
Kosko, B. (1988) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.87054 · Cited by 2,070
Stability of analog neural networks with delay
Marcus, C. M., & Westervelt, R. M. (1989) · Physical Review A · doi:10.1103/physreva.39.347 · Cited by 971
Delay-independent stability in bidirectional associative memory networks
Gopalsamy, K., & He, X.-Z. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.329700 · Cited by 560
Global asymptotic stability of a general class of recurrent neural networks with time-varying delays
Cao, J., & Wang, J. (2003) · IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications · doi:10.1109/tcsi.2002.807494 · Cited by 555
Self-citationGlobal Attractivity in Delayed Hopfield Neural Network Models
van den Driessche, P., & Zou, X. (1998) · SIAM Journal on Applied Mathematics · doi:10.1137/s0036139997321219 · Cited by 428
Robust stability for interval Hopfield neural networks with time delay
Liao, X., & Yu, J. (1998) · IEEE Transactions on Neural Networks · doi:10.1109/72.712187 · Cited by 265
Cao, J., & Wang, J. (2004) · Neural Networks · doi:10.1016/j.neunet.2003.08.007 · Cited by 216
Self-citationNecessary and sufficient condition for absolute stability of neural networks
Forti, M., Manetti, S., & Marini, M. (1994) · IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications · doi:10.1109/81.298364 · Cited by 206
Globally exponentially robust stability and periodicity of delayed neural networks
Cao, J., & Chen, T. (2004) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2004.03.019 · Cited by 143
Self-citation
Cited by
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
Zhang, H., Wang, Z., & Liu, D. (2014) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2014.2317880 · Cited by 654
Wen, S., Zeng, Z., Huang, T., & Zhang, Y. (2014) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2013.2294855 · Cited by 289
Exponential stability analysis of memristor-based recurrent neural networks with time-varying delays
Wen, S., Zeng, Z., & Huang, T. (2012) · Neurocomputing · doi:10.1016/j.neucom.2012.06.014 · Cited by 184
Metadata
- Authors
- Cao, J., Huang, D.-S., & Qu, Y.
- Venue
- Chaos, Solitons & Fractals
- Publisher
- Elsevier BV
- Published
- 2005-01
- Volume
- 23
- Issue
- 1
- Pages
- 221-229
- ISSN
- 0960-0779 (ISSN-L)
- OpenAlex
- W2047817663
- Cited by
- 255
- References
- 16
- FWCI
- 33.38
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cao, J., Huang, D.-S., & Qu, Y. (2005). Global robust stability of delayed recurrent neural networks. Chaos, Solitons & Fractals. https://doi.org/10.1016/j.chaos.2004.04.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
