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Counterpropagation networks
Abstract
By combining Kohonen learning and Grossberg learning a new type of mapping neural network is obtained. This counterpropagation network (CPN) functions as a statistically optimal self-programming lookup table. The paper begins with some introductory comments, followed by the definition of the CPN. Then a closedform formula for the error of the network is developed. The paper concludes with a discussion of CPN variants and comments about CPN convergence and performance. References and a neurocomputing bibliography with a combined total of eighty entries are provided.
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Cited by
Machine Learning in Agriculture: A Review
Liakos, K., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018) · Sensors · doi:10.3390/s18082674 · Cited by 3,441
A new strategy for multifunction myoelectric control
Hudgins, B., Parker, P., & Scott, R. N. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.204774 · Cited by 2,149
On recent advances in PV output power forecast
Raza, M. Q., Nadarajah, M., & Ekanayake, C. (2016) · Solar Energy · doi:10.1016/j.solener.2016.06.073 · Cited by 544
Grossberg, S. (2013) · Neural Networks · doi:10.1016/j.neunet.2012.09.017 · Cited by 410
Deriving the 3D structure of organic molecules from their infrared spectra
Hemmer, M. C., Steinhauer, V., & Gasteiger, J. (1999) · Vibrational Spectroscopy · doi:10.1016/s0924-2031(99)00014-4 · Cited by 310
Metadata
- Authors
- Hecht-Nielsen, R.
- Venue
- Applied Optics
- Publisher
- Optica Publishing Group
- Published
- 1987-12-01
- Volume
- 26
- Issue
- 23
- Pages
- 4979
- ISSN
- 0003-6935 (ISSN-L)
- 1539-4522
- OpenAlex
- W4232670376
- Cited by
- 719
- References
- 0
- FWCI
- 9.35
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Counterpropagation networks. https://app.cochat.ai/papers/10.1364/ao.26.004979
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- Hecht-Nielsen, R. (1987). Counterpropagation networks. Applied Optics. https://doi.org/10.1364/ao.26.004979
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.
