Search alternatives:
code optimization » codon optimization (Expand Search), model optimization (Expand Search), dose optimization (Expand Search)
binary model » final model (Expand Search), injury model (Expand Search), tiny model (Expand Search)
model global » lower global (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
Showing 1 - 20 results of 104 for search '(( binary model global optimization algorithm ) OR ( binary data code optimization algorithm ))', query time: 0.43s Refine Results
  1. 1
    The Pseudo-Code of the IRBMO Algorithm.

    The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

    Published 2025
    “…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
    Save to List
    Saved in:
  2. 2
    Pseudo Code of RBMO.

    Pseudo Code of RBMO. by Chenyi Zhu (9383370)

    Published 2025
    “…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …”
    Save to List
    Saved in:
  3. 3
    Sensitivity values of IRBMO vs. other binary algorithms.

    Sensitivity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Specificity values of IRBMO vs. other binary algorithms.

    Specificity values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Fitness values of IRBMO vs. other binary algorithms.

    Fitness values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  6. 6
    Number of features selected for IRBMO vs. other binary algorithms.

    Number of features selected for IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Classification accuracy values of IRBMO vs. other binary algorithms.

    Classification accuracy values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  8. 8
    F-score values of IRBMO vs. other binary algorithms.

    F-score values of IRBMO vs. other binary algorithms. by Chenyi Zhu (9383370)

    Published 2025
    Save to List
    Saved in:
  9. 9
    Hyperparameter settings for the optimization algorithms.

    Hyperparameter settings for the optimization algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 10
    DE algorithm flow.

    DE algorithm flow. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
    Save to List
    Saved in:
  11. 11
    Test results of different algorithms.

    Test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    “…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”
    Save to List
    Saved in:
  12. 12
    S1 Data -

    S1 Data - by Haoqiang Liu (193675)

    Published 2021
    Save to List
    Saved in:
  13. 13
    Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms.

    Descriptive analysis of the outcomes by the optimized LSTM using several optimization algorithms. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Functional fitness test results of different algorithms.

    Functional fitness test results of different algorithms. by Ling Zhao (111365)

    Published 2025
    Save to List
    Saved in:
  15. 15
    The confidence curve of a binary image.

    The confidence curve of a binary image. by Dingming Yang (8505990)

    Published 2022
    Save to List
    Saved in:
  16. 16
    The confidence change of the binary image after iteration.

    The confidence change of the binary image after iteration. by Dingming Yang (8505990)

    Published 2022
    Save to List
    Saved in:
  17. 17
    Surround Suppression mechanism.

    Surround Suppression mechanism. by Elnaz Nemati (21402730)

    Published 2025
    Save to List
    Saved in:
  18. 18
    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale.

    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. by Tehnan I. A. Mohamed (16846175)

    Published 2023
    Save to List
    Saved in:
  19. 19
    Algorithm for generating hyperparameter.

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

    Published 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. …”
    Save to List
    Saved in:
  20. 20
    Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm.

    Performance of the bAD-PSO-Guided WOA algorithm compared with another algorithm. by Ahmed M. Elshewey (21463867)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: