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Showing 161 - 180 results of 5,475 for search '(( algorithm python function ) OR ((( algorithm phase function ) OR ( algorithm b function ))))', query time: 0.75s Refine Results
  1. 161
    a) FO Function, b) FI function.

    a) FO Function, b) FI function. by Huang Jiexian (17060975)

    Published 2023
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  2. 162
    RMSE values of different algorithms for different bands in the "Kherson" region.

    RMSE values of different algorithms for different bands in the "Kherson" region. by YueSheng Jiang (19267984)

    Published 2024
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  3. 163
    RMSE values of different algorithms for different bands in the "PY" region.

    RMSE values of different algorithms for different bands in the "PY" region. by YueSheng Jiang (19267984)

    Published 2024
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  4. 164
    <b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median model fits obtained for males (brown) and females (pink) in 30 algorithm executions with random initial data (option 2, see Methods). The considered dimensions of the parameter spaces combined with the group abbreviations of males (M) or females (F) are indicated on the horizontal axes along with the detected GoF values on the vertical axes. Solid vertical lines separate the results for the Schaefer atlas (Sch100) and the Harvard-Oxford atlas (HO0Thr). The names of the utilized optimization algorithms are given in the titles. Statistically significant sex differences as assessed by the Wilcoxon rank-sum test are marked with an asterisk. The significance level of 5%, < 0.05, has been Bonferroni-corrected for multiple comparisons. The corrected -values of the sex differences are indicated in the plots. (C

    <b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median... by Kevin J. Wischnewski (21354521)

    Published 2025
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  5. 165
    The comparison results of different algorithms on 23 benchmark functions with D=30.

    The comparison results of different algorithms on 23 benchmark functions with D=30. by Yu Li (183836)

    Published 2022
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  6. 166
    The comparison results of different algorithms on CEC2017 functions with D=30.

    The comparison results of different algorithms on CEC2017 functions with D=30. by Yu Li (183836)

    Published 2022
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  7. 167
    Algorithm Parameter Setting.

    Algorithm Parameter Setting. by Tong Zhou (3770)

    Published 2025
    “…This strategy uses the improved D3QN algorithm combined with the excellent smoothness of the sine function to evaluate driving safety, helping vehicles find suitable gaps in traffic flow. …”
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  8. 168
    Simulations details for the Rosenbrock function.

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

    Published 2022
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  9. 169
    Simulations details for the Rastrigin function.

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

    Published 2022
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  10. 170
    Benchmark functions.

    Benchmark functions. by Mingjun Li (178925)

    Published 2022
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  11. 171
    The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot.

    The probability density function of points in feature space of variance versus mean of the local field for (0,3] and (0,3] displayed as a contour-plot. by Ali Talebi (7164203)

    Published 2025
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  12. 172
    <b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b>

    <b>The Negative Digital Root Implemented as a Mathematica Standalone Function</b> by Paul F. Marrero Romero (17450601)

    Published 2024
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  13. 173
    The parameter settings of compared algorithms.

    The parameter settings of compared algorithms. by Xuxu Zhong (10099054)

    Published 2021
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  14. 174
    Continuous Probability Distributions generated by the PIPE Algorithm

    Continuous Probability Distributions generated by the PIPE Algorithm by LUIS G.B. PINHO (14073372)

    Published 2022
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  15. 175
    A bar chart for the values of objective function—Phase I.

    A bar chart for the values of objective function—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  16. 176
    A bar chart for the number of function evaluations—Phase I.

    A bar chart for the number of function evaluations—Phase I. by Fadi K. Dib (5204807)

    Published 2023
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  17. 177
    A bar chart for the values of objective function—Phase II.

    A bar chart for the values of objective function—Phase II. by Fadi K. Dib (5204807)

    Published 2023
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  18. 178
    A bar chart for the number of function evaluations—Phase III.

    A bar chart for the number of function evaluations—Phase III. by Fadi K. Dib (5204807)

    Published 2023
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  19. 179
    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers.

    The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

    Published 2020
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  20. 180
    Python cv coding screenshots of all developed fingerprints on distinct surfaces.

    Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

    Published 2024
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