يعرض 161 - 180 نتائج من 1,135 نتيجة بحث عن '(( ((algorithm python) OR (algorithm within)) function ) OR ( algorithms often function ))', وقت الاستعلام: 0.41s تنقيح النتائج
  1. 161

    Rosenbrock function losses for . حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  2. 162

    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
    "…(A) The model identified by the quadratic Metropolis is often more predictive of the function (blue). The heatmap shows the difference in out-of-sample coefficient of determination (<i>R</i><sup>2</sup>). …"
  3. 163

    Compare algorithm parameter settings. حسب Yuqi Xiong (12343771)

    منشور في 2025
    "…<div><p>Metaheuristic optimization algorithms often face challenges such as complex modeling, limited adaptability, and a tendency to get trapped in local optima when solving complex optimization problems. …"
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    Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks حسب Veli Batmaz (20800175)

    منشور في 2025
    "…However, existing heuristic algorithms for WDN optimization often rely on specific parameters, limiting their performance and hindering their applicability to diverse network configurations, particularly in large-scale systems. …"
  9. 169

    Optimization outcome for the Rosenbrock function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  10. 170

    Optimization outcome for the Rastrigin function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  11. 171

    2D Rastrigin function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  12. 172

    2D Levy function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  13. 173

    2D Rosenbrock function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
  14. 174

    Optimization outcome for the Levy function. حسب Shikun Chen (14625352)

    منشور في 2025
    "…While data-driven models like gradient boosting and random forests excel at prediction tasks, they often lack mathematical regularity, being non-differentiable or even discontinuous. …"
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    The content of the speech. حسب Li Jiashen (20552690)

    منشور في 2025
    الموضوعات: