Research Article
Application of Temperature Compensation Combined with Neural Network in Infrared Gas Sensor
Table 2
The normalized NN input-output samples
(a) |
| | | | m | | | 18°C | 20°C |
| 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0.2 | 0.172 | 2 | 0.2 | 0.138 | 3 | 0.4 | 0.278 | 3 | 0.4 | 0.227 | 4 | 0.6 | 0.571 | 4 | 0.6 | 0.492 | 5 | 0.8 | 0.765 | 5 | 0.8 | 0.703 | 6 | 1 | 1 | 6 | 1 | 1 |
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(b) |
| | | | m | | | 22°C | 24°C |
| 1 | 0 | 0 | 1 | 0 | 0 | 2 | 0.2 | 0.117 | 2 | 0.2 | 0.053 | 3 | 0.4 | 0.371 | 3 | 0.4 | 0.328 | 4 | 0.6 | 0.53 | 4 | 0.6 | 0.49 | 5 | 0.8 | 0.672 | 5 | 0.8 | 0.779 | 6 | 1 | 1 | 6 | 1 | 1 |
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