Drift Compensation for pH IsFET Sensor Using NARX Neural Networks
This paper introduces a Nonlinear Autoregressive Neural Network (NARX) to predict the sensor error of IsFET pH drift with accuracy over the long period. The Bayesian Regularization (BR) backpropagation was used as network training function for this problem and combined with different delay and hidde...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/24409/ http://umpir.ump.edu.my/id/eprint/24409/ http://umpir.ump.edu.my/id/eprint/24409/ http://umpir.ump.edu.my/id/eprint/24409/1/Drift%20Compensation%20for%20pH%20IsFET%20Sensor.pdf |