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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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Bibliographic Details
Main Authors: M. Almassri, Ahmed M., Wan Hasan, Wan Zuha, Ahmad, Siti Anom, Shafie, Suhaidi, Wada, Chikamune, Horio, Keiichi
Format: Article
Language:English
Published: MDPI 2018
Online Access:http://psasir.upm.edu.my/id/eprint/73855/1/Self-calibration%20algorithm%20for%20a%20pressure%20sensor%20with%20a%20real-time%20approach%20based%20on%20an%20artificial%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/73855/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111596/
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http://psasir.upm.edu.my/id/eprint/73855/1/Self-calibration%20algorithm%20for%20a%20pressure%20sensor%20with%20a%20real-time%20approach%20based%20on%20an%20artificial%20neural%20network.pdf
http://psasir.upm.edu.my/id/eprint/73855/
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111596/

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