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With the development of engineering in cold regions, it is important to accurately derive the thermoplastic parameters of soils under freeze-thaw conditions. In view of the large error of the commonly used BP neural network to predict the thermal property parameters, 120 sets of thermal property parameters of frozen and thawed soil were used as samples, and the prediction model was improved by Bayesian regularization method to establish a multi-input and multi-output BP neural network, and the prediction accuracy of the model was significantly improved. Sensitivity analyses of the Bayesian neural network and random forest model were carried out with the improved Monte Carlo method and SHAP interpretation, respectively. The results show that the freeze-thaw condition does not change the sensitivity ranking of the influencing factors. The sensitivity of volumetric heat capacity and thermal conductivity to water content, dry density, and soil quality decreases in the order of freezing and thawing state, and the sensitivity of thermal conductivity to soil quality, water content and dry density decreases in the order of soil quality, water content and dry density.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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