يعرض 141 - 160 نتائج من 2,708 نتيجة بحث عن '(( algorithm from function ) OR ((( algorithm python function ) OR ( algorithm growth function ))))', وقت الاستعلام: 0.33s تنقيح النتائج
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    Co-simulation architecture. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  3. 143

    Overall framework diagram of the study. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  4. 144

    Braking system model. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
  5. 145

    Vehicle parameters. حسب Honglei Pang (22693724)

    منشور في 2025
    الموضوعات:
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    Speed limits and gradients from RJ to WYJ. حسب Yunhu Huang (21402795)

    منشور في 2025
    "…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"
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    Speed limits and gradient from SJZ to XHM. حسب Yunhu Huang (21402795)

    منشور في 2025
    "…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …"
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    Parameter settings for metaheuristic algorithms. حسب Junhao Wei (6816803)

    منشور في 2025
    "…<div><p>Whale Optimization Algorithm (WOA) suffers from issues such as premature convergence, low population diversity in the later stages of iteration, slow convergence rate, low convergence accuracy, and an imbalance between exploration and exploitation. …"
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    PFC value of algorithms on two datasets. حسب Xing Chen (140292)

    منشور في 2024
    "…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …"
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    If datasets are small and/or noisy, linear-regression-based algorithms for identifying functional groups outperform more complex versions. حسب Yuanchen Zhao (12905580)

    منشور في 2024
    "…Both versions are evaluated on the same synthetic datasets with a 3-group ground truth. Each algorithm return a set of coarsened <i>variables</i> (a grouping of species into three groups) and a <i>model</i> that uses these variables to predict the function. …"