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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI
2018
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| 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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| Institution: | Universiti Putra Malaysia |
| Language: | English |