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Showing 141 - 160 results of 12,350 for search '(( algorithm beach function ) OR ((( algorithm python function ) OR ( algorithm 1 function ))))', query time: 0.80s Refine Results
  1. 141
    Loss function variation curve.

    Loss function variation curve. by Chunhua Yang (346871)

    Published 2025
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  2. 142
    Simulations details for the Rosenbrock function.

    Simulations details for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  3. 143
    Simulations details for the Rastrigin function.

    Simulations details for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  4. 144
    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm.

    Non-converging numerical solution of the non-linear equation system through the iterations <i>p</i> using the Newton-Raphson algorithm and the Levenberg–Marquardt algorithm. by Martin Dodek (20623832)

    Published 2025
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  5. 145
    F1-scores of anomaly detection algorithms.

    F1-scores of anomaly detection algorithms. by GaoXiang Zhao (21499525)

    Published 2025
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  6. 146
    Global optima for objective functions <i>f</i><sub>1</sub> –<i>f</i><sub>14</sub>.

    Global optima for objective functions <i>f</i><sub>1</sub> –<i>f</i><sub>14</sub>. by Panagiotis Aivaliotis-Apostolopoulos (13851171)

    Published 2022
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  7. 147
    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></sup>Different stimuli are displayed equally. If desired by the user, some stimuli can be displayed more/less frequently by assigning them a higher/lower weight.

    Tunable parameters in stimuli generation module. <sup><i>a</i></sup>The fixation cross is displayed once before an experiment starts to help subjects concentrate. <sup><i>b</i></su... by Gursimran Singh (575288)

    Published 2025
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  8. 148
    Benchmark functions.

    Benchmark functions. by Xiaowen Zhang (83669)

    Published 2023
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  9. 149
    Genetic algorithm process of this paper.

    Genetic algorithm process of this paper. by Jiajie Liu (4560088)

    Published 2022
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  10. 150
    Study proposed algorithm.

    Study proposed algorithm. by Ainhoa Pérez-Guerrero (21377457)

    Published 2025
    Subjects: “…assess microvascular function…”
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  11. 151
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  12. 152
    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians.

    Distribution of FEV1/FVC in pulmonary function tests with discrepant interpretations between the algorithm and the clinicians. by Yuh-Chin T. Huang (17867207)

    Published 2024
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  13. 153
    Population <i>versus</i> success rate for the Rosenbrock function.

    Population <i>versus</i> success rate for the Rosenbrock function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  14. 154
    Population <i>versus</i> success rate for the Rastrigin function.

    Population <i>versus</i> success rate for the Rastrigin function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  15. 155
    The ALO algorithm optimization flowchart.

    The ALO algorithm optimization flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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  16. 156
    The IALO algorithm solution flowchart.

    The IALO algorithm solution flowchart. by Wenjing Wang (181404)

    Published 2024
    “…The average running time of the proposed algorithm in Sphere function and Griebank function was 2.67s and 1.64s, respectively. …”
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  17. 157
    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.

    Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms. by Yao Peng (1928524)

    Published 2023
    “…<p>Objective functions (i.e., RMSEs) and time of optimization for different population sizes of the used algorithms.…”
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  18. 158
    Forward and inverse problems and misfit function.

    Forward and inverse problems and misfit function. by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
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  19. 159
    Recursive attention function and loss function change.

    Recursive attention function and loss function change. by Wang Linfeng (17102068)

    Published 2023
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  20. 160
    Face matching performance as a function of test condition for Study 1 (threshold = 0.5).

    Face matching performance as a function of test condition for Study 1 (threshold = 0.5). by Daniela Barragan (13146762)

    Published 2022
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