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Showing 1 - 20 results of 98 for search '(( final model where optimization algorithm ) OR ( binary edge wolf optimization algorithm ))', query time: 0.61s Refine Results
  1. 1
    Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models.

    Most important features as selected by the Sequential Feature Selection algorithm (where appropriate) and found optimal hyperparameters for the top 3 scoring models. by Andres Portocarrero-Bonifaz (21367929)

    Published 2025
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  2. 2
    The ANFIS algorithm details.

    The ANFIS algorithm details. by Mohammadmahdi Taheri (21722285)

    Published 2025
    “…These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …”
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  3. 3
    Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined.

    Using synthetic data to test group-searching algorithms in a context where the correct grouping of species is known and uniquely defined. by Yuanchen Zhao (12905580)

    Published 2024
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  4. 4
    The optimization results with single objective.

    The optimization results with single objective. by Tianrui Zhang (2294542)

    Published 2023
    “…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
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  5. 5
    Variable performance in 250 top-performing models and the subset of 12 models selected from these used to create the final projections for the predicted habitat distributions of Texas Rio Grande Valley Red-crowned Parrots.

    Variable performance in 250 top-performing models and the subset of 12 models selected from these used to create the final projections for the predicted habitat distributions of Te... by Elise Varaela Voltura (17592996)

    Published 2023
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  6. 6
    Algorithm parameter setting.

    Algorithm parameter setting. by Tianrui Zhang (2294542)

    Published 2023
    “…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
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  7. 7
    Algorithm parameter setting.

    Algorithm parameter setting. by Tianrui Zhang (2294542)

    Published 2023
    “…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
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  8. 8
    Results for the RR-Russell model.

    Results for the RR-Russell model. by Mohammadmahdi Taheri (21722285)

    Published 2025
    “…These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …”
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  9. 9
    Results for the RR-CCR model.

    Results for the RR-CCR model. by Mohammadmahdi Taheri (21722285)

    Published 2025
    “…These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …”
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  10. 10
    Results for the RR-Additive model.

    Results for the RR-Additive model. by Mohammadmahdi Taheri (21722285)

    Published 2025
    “…These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …”
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  11. 11
    Modelled view of cloud layer.

    Modelled view of cloud layer. by Shanthi Amgothu (17692146)

    Published 2023
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  12. 12
    Systematic model of fog-cloud COVID prediction.

    Systematic model of fog-cloud COVID prediction. by Shanthi Amgothu (17692146)

    Published 2023
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  13. 13
    Model parameter sensitivity calculation results.

    Model parameter sensitivity calculation results. by Tianrui Zhang (2294542)

    Published 2023
    “…Finally, the chaotic particle ant colony algorithm is proposed, and the problem of premature convergence in the operation of the particle swarm algorithm is solved. …”
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  14. 14
    Optimal Sampling for Generalized Linear Models Under Measurement Constraints

    Optimal Sampling for Generalized Linear Models Under Measurement Constraints by Tao Zhang (43681)

    Published 2021
    “…We propose a response-free sampling procedure optimal sampling under measurement constraints (OSUMC) for generalized linear models. …”
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  15. 15
    Comparison to State-of-the-art approaches (%).

    Comparison to State-of-the-art approaches (%). by Ehsan Amiri (5216075)

    Published 2024
    “…The proposed model (SEC) is a three-part model based on an evolutionary algorithm that can detect fake blocks well. …”
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  16. 16
    Neighborhood blocks with eight position.

    Neighborhood blocks with eight position. by Ehsan Amiri (5216075)

    Published 2024
    “…The proposed model (SEC) is a three-part model based on an evolutionary algorithm that can detect fake blocks well. …”
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  17. 17
    The formulas of the evaluation indexes.

    The formulas of the evaluation indexes. by Beibei Hu (5347559)

    Published 2023
    “…The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …”
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  18. 18
    Analysis of the REs of VMFs and IMFs.

    Analysis of the REs of VMFs and IMFs. by Beibei Hu (5347559)

    Published 2023
    “…The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …”
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  19. 19
    The multiple factors influencing carbon price.

    The multiple factors influencing carbon price. by Beibei Hu (5347559)

    Published 2023
    “…The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …”
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  20. 20
    Statistical description of the dataset.

    Statistical description of the dataset. by Beibei Hu (5347559)

    Published 2023
    “…The multi-factor HKELM optimized by the sparrow search algorithm is used to forecast the reconstructed subsequences, where the main external factors innovatively selected by maximum information coefficient and historical time-series data on carbon prices are both considered as input variables to the forecasting model. …”
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