USING RECURRENT NEURAL NETWORKS TO CALCULATE THE RELIABILITY OF SENSORS

The article presents the main stages of using recurrent neural networks to calculate the reliability of sensors. The principles of constructing a model for calculating reliability using neural networks, the stages of developing this model are shown. An example of the use of recurrent neural networks is considered to calculate the reliability of sensors.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-10
DOI
https://doi.org/10.5281/zenodo.15003584
Primary Topic
Advanced Data Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

USING RECURRENT NEURAL NETWORKS TO CALCULATE THE RELIABILITY OF SENSORS

Zenodo (CERN European Organization for Nuclear Research)
Advanced Data Processing Techniques
article

USING RECURRENT NEURAL NETWORKS TO CALCULATE THE RELIABILITY OF SENSORS

article en

Abstract

The article presents the main stages of using recurrent neural networks to calculate the reliability of sensors. The principles of constructing a model for calculating reliability using neural networks, the stages of developing this model are shown. An example of the use of recurrent neural networks is considered to calculate the reliability of sensors.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 49%
Advanced Data Processing Techniques
DOIOpen Access PDFOpenAlex
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USING RECURRENT NEURAL NETWORKS TO CALCULATE THE RELIABILITY OF SENSORS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS