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Self-Calibration Algorithm for a Pressure Sensor with a Real-Time Approach Based on an Artificial Neural Network
This paper presents a novel approach to predicting self-calibration in a pressure sensor using a proposed Levenberg Marquardt Back Propagation Artificial Neural Network (LMBP-ANN) model. The self-calibration algorithm should be able to fix major problems in the pressure sensor such as hysteresis, va...
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Gepubliceerd in: | Sensors (Basel) |
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Hoofdauteurs: | , , , , , |
Formaat: | Artigo |
Taal: | Inglês |
Gepubliceerd in: |
MDPI
2018
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Onderwerpen: | |
Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6111596/ https://ncbi.nlm.nih.gov/pubmed/30081581 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18082561 |
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