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Cited by 391

The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.

Theory and applications of neural networks for industrial control systems

Fukuda, T., Shibata, T.·1992·IEEE Transactions on Industrial Electronics

Abstract

The theory and the applications of artificial neural networks, especially in a control field, are described. Recurrent networks and feedforward networks are discussed. Application to pattern recognition, information processing, design, planning, diagnosis, and control are examined. Hybrid systems using the neural networks, fuzzy sets, and artificial intelligence (AI) technologies are surveyed.>

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Metadata

Authors
Fukuda, T., & Shibata, T.
Venue
IEEE Transactions on Industrial Electronics
Published
1992
Volume
39
Issue
6
Pages
472-489
ISSN
0278-0046 (ISSN-L)
OpenAlex
W2156562940
Cited by
391
References
72
FWCI
9.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Theory and applications of neural networks for industrial control systems. https://app.cochat.ai/papers/10.1109/41.170966
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Fukuda, T., & Shibata, T. (1992). Theory and applications of neural networks for industrial control systems. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/41.170966

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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.