The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Neural networks for nonlinear programming
Abstract
The dynamics of the modified canonical nonlinear programming circuit are studied and how to guarantee the stability of the network's solution. By considering the total cocontent function, the solution of the canonical nonlinear programming circuit is reconciled with the problem being modeled. In addition, it is shown how the circuit can be realized using a neural network, thereby extending the results of D.W. Tank and J.J. Hopefield (ibid., vol.CAS-33, p.533-41, May 1986) to the general nonlinear programming problem.>
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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
Device modeling via nonlinear circuit elements
Chua, L. (1980) · IEEE Transactions on Circuits and Systems · doi:10.1109/tcs.1980.1084742 · Cited by 277
Self-citation
Cited by
Global convergence of neural networks with discontinuous neuron activations
Forti, M., & Nistri, P. (2003) · IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications · doi:10.1109/tcsi.2003.818614 · Cited by 451
Metadata
- Authors
- Kennedy, M. P., & Chua, L. O.
- Venue
- IEEE Transactions on Circuits and Systems
- Published
- 1988-05
- Volume
- 35
- Issue
- 5
- Pages
- 554-562
- ISSN
- 0098-4094 (ISSN-L)
- OpenAlex
- W2097113878
- Cited by
- 1,111
- References
- 2
- FWCI
- 12.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kennedy, M. P., & Chua, L. O. (1988). Neural networks for nonlinear programming. IEEE Transactions on Circuits and Systems. https://doi.org/10.1109/31.1783
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.
