يعرض 1 - 20 نتائج من 56 نتيجة بحث عن '(( primary data wolf optimization algorithm ) OR ( binary damage model optimization algorithm ))', وقت الاستعلام: 0.69s تنقيح النتائج
  1. 1

    S1 Data - حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  2. 2

    Parameter settings for algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  3. 3

    Parameter settings for algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  4. 4

    Average runtime of different algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  5. 5

    Average runtime of different algorithms. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  6. 6

    Flowchart of GJO-GWO algorithm. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  7. 7

    Algorithm for generating hyperparameter. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
  8. 8

    Results of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
  9. 9

    Detailed information of benchmark functions. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  10. 10

    Evaluation metrics of the models’ performance. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  11. 11

    Detailed information of datasets. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  12. 12

    Friedman test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  13. 13

    Average number of selected features. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  14. 14

    Wilcoxon rank sum test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  15. 15

    Wilcoxon rank sum test results. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  16. 16

    Average number of selected features. حسب Guangwei Liu (181992)

    منشور في 2024
    "…<div><p>This paper proposes a feature selection method based on a hybrid optimization algorithm that combines the Golden Jackal Optimization (GJO) and Grey Wolf Optimizer (GWO). …"
  17. 17

    ROC comparison of machine learning algorithm. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
  18. 18

    Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
  19. 19

    Best optimizer results of Adaboost. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"
  20. 20

    Best optimizer results of Lightbgm. حسب Balraj Preet Kaur (20370832)

    منشور في 2024
    "…To optimize the parameters of the machine learning algorithms, hyperparameter optimization with a genetic algorithm is proposed and to reduce the size of the feature set, feature selection is performed using binary grey wolf optimization algorithm. …"