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    Research on Instrumentation Health Status Evaluation MethodBased on Neural Network
    IOP Publishing ; 2022
    In:  Journal of Physics: Conference Series Vol. 2366, No. 1 ( 2022-11-01), p. 012042-
    Details
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 2366, No. 1 ( 2022-11-01), p. 012042-
    Abstract: Metrology support includes the management of measurement equipment and measurement process, which is an indispensable part of engineering construction. Aiming at the health status of instrumentation in use in enterprises metrological verification, BP and SOFM neural networks are introduced, the characteristics of the two neural networks are introduced, the sample data system and network algorithm are designed, and a set of scientific and complete evaluation methods are produced through algorithm practice and data analysis, which provides direction for the research on the health status of instrumentation in use.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    URL: Article
    DOI: 10.1088/1742-6596/2366/1/012042
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2022
    detail.hit.zdb_id: 2166409-2
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