The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A neural network model as a globally coupled map and applications based on chaos
Abstract
First, a neural network model as the globally coupled map (GCM) is proposed. The model is obtained by modification of a Hopfield network model that has a negative self-feedback connection. Second, information processed by this model is interpreted in terms of the variety of the maps acting on the network elements, and a new, dynamic information processing model is described. The search for information using vague keywords, and solution of the traveling salesman problem (TSP) are introduced as applications.
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Citations
Cites
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
Hopfield, J. J. (1984) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.81.10.3088 · Cited by 6,918
Cited by
A Review of Feature Selection and Its Methods
Venkatesh, B., & Anuradha, J. (2019) · Cybernetics and Information Technologies · doi:10.2478/cait-2019-0001 · Cited by 631
Synchronous chaos in coupled oscillator systems
Heagy, J. F., Carroll, T. L., & Pecora, L. M. (1994) · Physical Review E · doi:10.1103/physreve.50.1874 · Cited by 462
Feature selection methods for big data bioinformatics: A survey from the search perspective
Wang, L., Wang, Y., & Chang, Q. (2016) · Methods · doi:10.1016/j.ymeth.2016.08.014 · Cited by 331
Metadata
- Authors
- Nozawa, H.
- Venue
- Chaos: An Interdisciplinary Journal of Nonlinear Science
- Publisher
- AIP Publishing
- Published
- 1992-07-01
- Volume
- 2
- Issue
- 3
- Pages
- 377-386
- ISSN
- 1054-1500 (ISSN-L)
- 1089-7682
- OpenAlex
- W2082713402
- Cited by
- 280
- References
- 3
- FWCI
- 8.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Nozawa, H. (1992). A neural network model as a globally coupled map and applications based on chaos. Chaos: An Interdisciplinary Journal of Nonlinear Science. https://doi.org/10.1063/1.165880
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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.
