يعرض 1 - 20 نتائج من 33 نتيجة بحث عن '(( algorithm learning predictions ) OR ( algorithm python function ))~', وقت الاستعلام: 0.51s تنقيح النتائج
  1. 1

    Reward function related parameters. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
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    Main parameters of braking system. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  3. 3

    EMB and SBW system structure. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
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    Raw data. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
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    Code program. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  6. 6

    The HIL simulation data flowchart. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  7. 7

    Steering system model. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  8. 8

    Hyperparameter Configurations in PPO Training. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  9. 9

    Main parameters of steering system. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  10. 10

    Co-simulation architecture. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
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    Overall framework diagram of the study. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  12. 12

    Braking system model. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
  13. 13

    Vehicle parameters. حسب Honglei Pang (22693724)

    منشور في 2025
    "…Results show that, compared to Model Predictive Control (MPC) and Sliding Mode Control (SMC), the PPO algorithm reduces braking distance by 15–20% on low-adhesion roads, decreases lateral deviation by 25–30% on split-μ roads, and suppresses yaw rate oscillation by 28.8% on curved roads. …"
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    GameOfLife Prediction Dataset حسب David Towers (12857447)

    منشور في 2025
    "…This task is relatively simple for a human to do if a bit tedious, and should theoretically be simple for Machine Learning algorithms. Each cells's state is calculated based off the number of alive neighbour's in the previous step. …"
  20. 20

    Expression vs genomics for predicting dependencies حسب Broad DepMap (5514062)

    منشور في 2024
    "…If you are interested in trying machine learning, the files Features.hdf5 and Target.hdf5 contain the data munged in a convenient form for standard supervised machine learning algorithms.…"