The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A multilayered neural network controller
Abstract
A multilayered neural network processor is used to control a given plant. Several learning architectures are proposed for training the neural controller to provide the appropriate inputs to the plant so that a desired response is obtained. A modified error-back propagation algorithm, based on propagation of the output error through the plant, is introduced. The properties of the proposed architectures are studied through a simulation example.>
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Cited by
Levin, A. U., & Narendra, K. S. (1996) · IEEE Transactions on Neural Networks · doi:10.1109/72.478390 · Cited by 441
Neural networks for nonlinear internal model control
Hunt, K. J., & Sbarbaro, D. (1991) · IEE Proceedings D Control Theory and Applications · doi:10.1049/ip-d.1991.0059 · Cited by 367
(1997) · Elsevier eBooks · doi:10.1016/b978-0-12-526430-3.x5000-4 · Cited by 290
ATM communications network control by neural networks
Hiramatsu, A. (1990) · IEEE Transactions on Neural Networks · doi:10.1109/72.80211 · Cited by 152
Rizkin, B. A., Popovich, K., & Hartman, R. L. (2019) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2018.11.016 · Cited by 40
Metadata
- Authors
- Psaltis, D., Sideris, A., & Yamamura, A. A.
- Venue
- IEEE Control Systems Magazine
- Published
- 1988-04
- Volume
- 8
- Issue
- 2
- Pages
- 17-21
- ISSN
- 0272-1708 (ISSN-L)
- OpenAlex
- W2135227058
- Cited by
- 1,056
- References
- 1
- FWCI
- 29.40
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A multilayered neural network controller. https://app.cochat.ai/papers/10.1109/37.1868
- The paper
- Psaltis, D., Sideris, A., & Yamamura, A. A. (1988). A multilayered neural network controller. IEEE Control Systems Magazine. https://doi.org/10.1109/37.1868
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.