Showing 1,941 - 1,960 results of 63,728 for search '(( a ((((mean decrease) OR (larger decrease))) OR (linear decrease)) ) OR ( a large decrease ))', query time: 1.13s Refine Results
  1. 1941

    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. …”
  2. 1942

    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. …”
  3. 1943

    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. …”
  4. 1944

    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. …”
  5. 1945

    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. …”
  6. 1946

    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. …”
  7. 1947

    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. …”
  8. 1948

    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. …”
  9. 1949

    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. …”
  10. 1950

    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. …”
  11. 1951

    BP neural network structure diagram. 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. 1952

    Structure diagram of GBDT 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. …”
  13. 1953

    Model prediction error analysis index. 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. 1954

    Fitting curve 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. …”
  15. 1955

    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. 1956
  17. 1957
  18. 1958
  19. 1959

    CHCL_09 fracture analysis data. by Oliver Campbell (17283127)

    Published 2023
    “…<div><p>The immovable nature of built heritage means that it is particularly vulnerable during times of armed conflict. …”
  20. 1960

    SRS_09 fracture analysis data. by Oliver Campbell (17283127)

    Published 2023
    “…<div><p>The immovable nature of built heritage means that it is particularly vulnerable during times of armed conflict. …”