Showing 1 - 20 results of 22 for search '(( significant decrease decrease ) OR ( significant ((step decrease) OR (shape increases)) ))~', query time: 0.44s Refine Results
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  2. 2

    Actual measurement of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  3. 3

    Comprehensive prediction process of shape errors. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  4. 4

    Shape error manual calculation process. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  5. 5

    Shape error measurement results statistics. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  6. 6

    Generated spline library. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  7. 7

    Correlation coefficient matrix. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  8. 8

    RMSE versus learning rate. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  9. 9

    RMSE versus training parameters. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  10. 10

    Assembly process of machine recognition form. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  11. 11

    Process of steel truss incremental launching. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  12. 12

    CGAN and AutoML stacking device. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  13. 13

    U-wave estimates versus R-matrix noise variance. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  14. 14

    Sliding window process. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  15. 15

    Assembly error angle of a single spline. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  16. 16

    Original record form of error matrix. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  17. 17

    Form for machine recognition. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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    RMSE versus architectural parameters. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
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    Kalman process. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”
  20. 20

    Attention mechanism. by Zhe Hu (787283)

    Published 2025
    “…Field experiments demonstrate that the predicted values from the LSTM model closely align with the measured values, maintaining short-term shape error prediction accuracy within 3 mm. However, prediction accuracy diminishes for longer time steps as the step length increases. …”