Approach to the generalized parameters formation of the complex technical systems technical condition using neural network structures
- DOI
- 10.17586/2226-1494-2023-23-4-828-835
- Published
- 2023-08-01
- Container
- Scientific and Technical Journal of Information Technologies, Mechanics and Optics
- Publisher
- ITMO University
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.17586/2226-1494-2023-23-4-828-835,
title = {Approach to the generalized parameters formation of the complex technical systems technical condition using neural network structures},
author = {G.N. Maltsev and V.L. Yakimov},
year = {2023},
journal = {Scientific and Technical Journal of Information Technologies, Mechanics and Optics},
doi = {10.17586/2226-1494-2023-23-4-828-835},
url = {https://doi.org/10.17586/2226-1494-2023-23-4-828-835}
}RIS
TY - JOUR TI - Approach to the generalized parameters formation of the complex technical systems technical condition using neural network structures AU - G.N. Maltsev AU - V.L. Yakimov PY - 2023 JO - Scientific and Technical Journal of Information Technologies, Mechanics and Optics DO - 10.17586/2226-1494-2023-23-4-828-835 UR - https://doi.org/10.17586/2226-1494-2023-23-4-828-835 ER -
APA
Maltsev, G., & Yakimov, V. (2023). Approach to the generalized parameters formation of the complex technical systems technical condition using neural network structures. Scientific and Technical Journal of Information Technologies, Mechanics and Optics. https://doi.org/10.17586/2226-1494-2023-23-4-828-835
Source records
- crossref · retrieved 2026-11-10T23:56:30.500Z