يعرض 61 - 80 نتائج من 16,872 نتيجة بحث عن '(((( algorithm python function ) OR ( algorithm 1 function ))) OR ( algorithm a functional ))', وقت الاستعلام: 0.88s تنقيح النتائج
  1. 61

    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. حسب Quynh-Anh Nguyen (847240)

    منشور في 2020
    "…Parameters <i>N</i><sub><i>in</i></sub> and <i>C</i><sub><i>th</i></sub> are chosen to yield SEM similar to those observed in the spike count data [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.3A in Ref)] and to yield the least-squares error of the experimental buildups (dashed, extracted from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>, (Fig.4 in Ref)] and the computer-simulated neurometric functions (solid) for <i>DF</i> = 1, 3, 6, 9. …"
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    ANOVA tests for Benchmark functions. حسب Yu Liu (6938)

    منشور في 2025
    "…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …"
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    The Wilcoxon results for Benchmark functions. حسب Yu Liu (6938)

    منشور في 2025
    "…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …"
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    Convergence graphs of Benchmark functions. حسب Yu Liu (6938)

    منشور في 2025
    "…To enhance the algorithm’s global optimization capabilities and stability, an enhanced CTCM (CTCMKT) is proposed, which integrates a joint strategy of Kent chaotic mapping and <i>t</i>- distribution mutation. …"
  6. 66

    Table_1_Functional Outcome Prediction in Ischemic Stroke: A Comparison of Machine Learning Algorithms and Regression Models.DOCX حسب Shakiru A. Alaka (9302864)

    منشور في 2020
    "…<p>Background and Purpose: Stroke-related functional risk scores are used to predict patients' functional outcomes following a stroke event. …"
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

    منشور في 2021
    "…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"
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    Study proposed algorithm. حسب Ainhoa Pérez-Guerrero (21377457)

    منشور في 2025
    الموضوعات: "…assess microvascular function…"
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    Loss function variation curve. حسب Chunhua Yang (346871)

    منشور في 2025
    الموضوعات:
  14. 74

    Algorithm testing. حسب Ziad M. Ali (12516532)

    منشور في 2024
    "…While the single-diode model (PV<sub>SDM</sub>) is commonly used, the double-diode model (PV<sub>DDM</sub>) offers improved accuracy at a reasonable level of complexity. However, finding analytical closed-form solutions for the current-voltage (<i>I</i>-<i>U</i>) dependency in PV<sub>DDM</sub> circuits has remained a challenge. …"
  15. 75

    CEC2019 benchmark functions. حسب Guangwei Liu (181992)

    منشور في 2023
    "…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …"
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    Prediction performance of different optimization algorithms. حسب Ali-Kemal Aydin (10968731)

    منشور في 2021
    "…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"
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