Showing 181 - 200 results of 1,985 for search '(( third ((step decrease) OR (we decrease)) ) OR ( a ((teer decrease) OR (linear decrease)) ))', query time: 0.45s Refine Results
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    Basis spread regression results – Soybeans. by Theodoros Skevas (6728168)

    Published 2025
    “…On average, the U.S. accounts for one-third of global corn and soybean production from 2012/13 to 2020/21, so the infrastructure to move crops from the main growing region to the nation’s ports is critical to global crop and food markets. …”
  6. 186

    Basis spread regression results – Corn. by Theodoros Skevas (6728168)

    Published 2025
    “…On average, the U.S. accounts for one-third of global corn and soybean production from 2012/13 to 2020/21, so the infrastructure to move crops from the main growing region to the nation’s ports is critical to global crop and food markets. …”
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    Structure diagram of ensemble model. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  11. 191

    Fitting formula parameter table. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  12. 192

    Test plan. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  13. 193

    Fitting surface parameters. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  14. 194

    Model generalisation validation error analysis. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  15. 195

    Empirical model prediction error analysis. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  16. 196

    Fitting curve parameters. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  17. 197

    Test instrument. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  18. 198

    Empirical model establishment process. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  19. 199

    Model prediction error trend chart. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”
  20. 200

    Basic physical parameters of red clay. by Hongqi Wang (2208238)

    Published 2024
    “…Furthermore, we quantitatively analyze the specific influence of water content and other factors on the thermal conductivity of stabilized soil and construct a comprehensive prediction model encompassing BP neural network, gradient boosting decision tree, and linear regression models. …”