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Showing 101 - 120 results of 17,077 for search '(((( algorithms a function ) OR ( algorithm used function ))) OR ( algorithm python function ))', query time: 0.49s Refine Results
  1. 101
    Comparison of algorithm search curves.

    Comparison of algorithm search curves. by Bowen Li (200859)

    Published 2023
    “…Then, combining with the idea of fast density clustering algorithm, the number of hidden layer neurons of RBF is determined by finding the point with the highest density and using it as the hidden layer neuron. …”
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  2. 102
    Algorithm parameters.

    Algorithm parameters. by Ruyi Dong (9038174)

    Published 2025
    Subjects: “…dimensional benchmark functions…”
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  3. 103
    Proposed algorithm.

    Proposed algorithm. by Keenjhar Ayoob (22339616)

    Published 2025
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  4. 104
    Functional SNP region.

    Functional SNP region. by Mahmudul Hasan Rifat (12884620)

    Published 2022
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  5. 105
    Evolution of objective function.

    Evolution of objective function. by Serdar Ekinci (15927455)

    Published 2024
    “…A custom optimizer, the quadratic wavelet-enhanced gradient-based optimization (QWGBO) algorithm, is developed. …”
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  6. 106
    DMTD algorithm.

    DMTD algorithm. by Yunhu Huang (21402795)

    Published 2025
    Subjects:
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  7. 107
    Standard functions to test.

    Standard functions to test. by Kemal Gökhan Nalbant (18858009)

    Published 2024
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  8. 108
    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function

    <i>K</i>-CDFs: A Nonparametric Clustering Algorithm via Cumulative Distribution Function by Jicai Liu (11419050)

    Published 2022
    “…<p>We propose a novel partitioning clustering procedure based on the cumulative distribution function (CDF), called <i>K</i>-CDFs. …”
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  9. 109
    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP.

    Evolutionary processes on special functions (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

    Published 2023
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  10. 110
    Compare the test functions.

    Compare the test functions. by Yanqiu Li (683621)

    Published 2024
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  11. 111
    Flowchart for the Tabu Search Algorithm [43].

    Flowchart for the Tabu Search Algorithm [43]. by Ferhat Yuna (21519851)

    Published 2025
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  12. 112
    Population diversity comparison on all function (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP.

    Population diversity comparison on all function (a) NMO-SARA vs MS-GEP-A (b) GEP vs MS-GEP-I (c) FF-GEP vs MS-GEP. by Jin Ding (11522)

    Published 2023
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  13. 113
    Classification algorithm implemented in SPARTA.

    Classification algorithm implemented in SPARTA. by Baptiste Ruiz (20285217)

    Published 2024
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  14. 114
    Types of training algorithms.

    Types of training algorithms. by Caixia Yan (6647072)

    Published 2025
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  15. 115
    The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorithm) using the DE5 FFPGA, GTX 580 GPU, GTX Titan Black and GTX Titan X.

    The execution times (nano seconds) per particle are measured for four different algorithms [47], (A: first algorithm, B: second algorithm, C: third algorithm: and D: fourth algorit... by Abedalmuhdi Almomany (18547669)

    Published 2024
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  16. 116
    Radius of gyration (RG) of the backbone atoms of the protein as a function of time.

    Radius of gyration (RG) of the backbone atoms of the protein as a function of time. by L. F. S. Bonet (11502082)

    Published 2021
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  17. 117
    Solvent-accessible surface area (SASA) of the protein as a function of time.

    Solvent-accessible surface area (SASA) of the protein as a function of time. by L. F. S. Bonet (11502082)

    Published 2021
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  18. 118
    Running memory of the algorithms.

    Running memory of the algorithms. by Yanju Zhang (437336)

    Published 2023
    Subjects:
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  19. 119
    A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm.

    A parabolic relationship between prediction errors and learning rates obtained by a cubic learning algorithm. by Boluwatife Ikwunne (22238697)

    Published 2025
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  20. 120
    Artificial colony algorithm flow.

    Artificial colony algorithm flow. by Jianpeng Zhang (528185)

    Published 2024
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