Нейросетевая аппроксимация термометрической характеристики диодного сенсора
For the mathematical description of the thermometric characteristics of silicon thermodiode sensors, a neural network algorithm was used for the first time to approximate experimental data. The achieved high accuracy of approximation (≈1.5 mK) in the temperature range of 4.2–357 K made it possible t...
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| Date: | 2005 |
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| Main Authors: | , , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PE "Politekhperiodika", Book and Journal Publishers
2005
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| Subjects: | |
| Online Access: | https://www.tkea.com.ua/index.php/journal/article/view/TKEA2005.5.18 |
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| Journal Title: | Technology and design in electronic equipment |