Prediction of the Freezing Temperature of Saline Soil Using Neural Network Methods
Freezing temperature is an important physical index of saline soil in permafrost and seasonal frozen area, and it is difficult to be predicted with a formula when saline soil contains multiple salts. In this study, we used a backpropagation neural network (BPNN) and a radial basis function neural ne...
| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
MDPI AG
2023-02-01
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| シリーズ: | Atmosphere |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2073-4433/14/3/422 |