Self-Calibration Algorithm for a Pressure Sensor with a Real-Time Approach Based on an Artificial Neural Network

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: Ahmed M. M. Almassri, Wan Zuha Wan Hasan, Siti Anom Ahmad, Suhaidi Shafie, Chikamune Wada, Keiichi Horio
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
pressure sensors
self-calibration algorithm
artificial neural network
pressure measurement system
real-time application
robotic hand glove
rehabilitation applications
Online Access:http://www.mdpi.com/1424-8220/18/8/2561

Internet

http://www.mdpi.com/1424-8220/18/8/2561

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