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Showing 1 - 20 results of 5,197 for search '(((( algorithm wise function ) OR ( algorithm value function ))) OR ( algorithm etc function ))*', query time: 0.61s Refine Results
  1. 1
    -value on 23 benchmark functions (dim = 30).

    -value on 23 benchmark functions (dim = 30). by Yuqi Xiong (12343771)

    Published 2025
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  2. 2
    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri.

    The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. by Burak Alakent (463512)

    Published 2025
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  3. 3
    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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  4. 4
    Illustration of the unrestricted model and its training algorithm.

    Illustration of the unrestricted model and its training algorithm. by Yuru Song (21300760)

    Published 2025
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  5. 5
    -value on CEC2022 (dim = 20).

    -value on CEC2022 (dim = 20). by Yuqi Xiong (12343771)

    Published 2025
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  6. 6
    Average mean values by algorithms on benchmark functions.

    Average mean values by algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

    Published 2021
    “…<p>Average mean values by algorithms on benchmark functions.</p>…”
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  7. 7
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
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  8. 8
    Distribution of objective function values solved by three algorithms.

    Distribution of objective function values solved by three algorithms. by Meilin Zhu (688698)

    Published 2025
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  9. 9
    Objective function values of different algorithms on individual problem instances.

    Objective function values of different algorithms on individual problem instances. by Panfei Li (22379086)

    Published 2025
    “…<p>Objective function values of different algorithms on individual problem instances.…”
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  10. 10
    Loss function values of target detection algorithms during training.

    Loss function values of target detection algorithms during training. by Guodong Su (7876934)

    Published 2024
    “…<p>Loss function values of target detection algorithms during training.…”
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  11. 11
    Sensor value scenario for average value algorithm.

    Sensor value scenario for average value algorithm. by Gourab Saha (8987405)

    Published 2025
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  12. 12
    Initialization parameter values for the comparison algorithms.

    Initialization parameter values for the comparison algorithms. by Muhammad Zubair Rehman (11243478)

    Published 2021
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  13. 13
    Predictions from a Universal Value Function Approximator (UVFA) algorithm.

    Predictions from a Universal Value Function Approximator (UVFA) algorithm. by Sam Hall-McMaster (10343795)

    Published 2025
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  14. 14
    Performance profile of the four algorithms based on the function value of iteration number.

    Performance profile of the four algorithms based on the function value of iteration number. by Sulaiman M. Ibrahim (20614376)

    Published 2025
    “…<p>Performance profile of the four algorithms based on the function value of iteration number.…”
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  15. 15
    GD and IGD values of the traditional NSGA-II algorithm.

    GD and IGD values of the traditional NSGA-II algorithm. by Ying Wang (11406)

    Published 2024
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  16. 16
    GD and IGD values of the improved NSGA-II algorithm.

    GD and IGD values of the improved NSGA-II algorithm. by Ying Wang (11406)

    Published 2024
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  17. 17
    Objective function values of each algorithm for solving large-scale problems.

    Objective function values of each algorithm for solving large-scale problems. by Lijun Fan (2007628)

    Published 2023
    “…<p>Objective function values of each algorithm for solving large-scale problems.…”
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  18. 18
    Values of the fitness function for different algorithms run on various companies’ datasets.

    Values of the fitness function for different algorithms run on various companies’ datasets. by Bitanu Chatterjee (15295261)

    Published 2023
    “…<p>Values of the fitness function for different algorithms run on various companies’ datasets.…”
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  19. 19
    IGD values of different algorithms under different standard test functions.

    IGD values of different algorithms under different standard test functions. by Jun Sun (48981)

    Published 2023
    “…<p>IGD values of different algorithms under different standard test functions.…”
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  20. 20
    Critical values of membership functions learned from the study cohort by the algorithm.

    Critical values of membership functions learned from the study cohort by the algorithm. by Yufeng Zhang (195768)

    Published 2023
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