يعرض 101 - 120 نتائج من 242 نتيجة بحث عن '(( sites based model optimization algorithm ) OR ( binary basic wolf optimization algorithm ))', وقت الاستعلام: 0.34s تنقيح النتائج
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    Parameter used in federated learning model. حسب De Sheng Fu (19106192)

    منشور في 2024
    "…In the proposed work, a novel method has been discussed to generate an optimized base model without hampering its performance, which is based on a genetic algorithm. …"
  3. 103

    Image 1_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif حسب Tingkai Hou (21014762)

    منشور في 2025
    "…Finally, the mechanical parameters to be measured are inversed based on field-measured displacements. This model is utilized to invert the RMMPs for a mining site located in Yunnan Province, and the inversed RMMPs are utilized for forward analysis. …"
  4. 104

    Image 2_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif حسب Tingkai Hou (21014762)

    منشور في 2025
    "…Finally, the mechanical parameters to be measured are inversed based on field-measured displacements. This model is utilized to invert the RMMPs for a mining site located in Yunnan Province, and the inversed RMMPs are utilized for forward analysis. …"
  5. 105
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  8. 108

    Meteorological factors used in our experiment. حسب Jibo Zhang (38440)

    منشور في 2024
    "…The algorithms we used to construct the models included in our study were based on either K-means clustering, systematic clustering, or naïve Bayesian classification. …"
  9. 109

    Wheat image grouping. حسب Jibo Zhang (38440)

    منشور في 2024
    "…The algorithms we used to construct the models included in our study were based on either K-means clustering, systematic clustering, or naïve Bayesian classification. …"
  10. 110

    Data sources for calibration and evaluation. حسب Yonghui Zhang (279832)

    منشور في 2025
    "…In this work, we modified Non-dominated Sorting Genetic Algorithm with the core algorithm of PEST (MNSGA-II) and compared it to two other algorithms of Generalized Likelihood Uncertainty Estimation (GLUE) and Differential Evolution (DE) to calibrate the cultivar-specific parameters (CSPs) of CROPGRO-Soybean phenological model (CSPM) so as to exactly simulate the soybean phenology using the multi-source datasets of multi-site, multi-year, and multi-cultivar. …"
  11. 111

    The data used in the figures. حسب Yonghui Zhang (279832)

    منشور في 2025
    "…In this work, we modified Non-dominated Sorting Genetic Algorithm with the core algorithm of PEST (MNSGA-II) and compared it to two other algorithms of Generalized Likelihood Uncertainty Estimation (GLUE) and Differential Evolution (DE) to calibrate the cultivar-specific parameters (CSPs) of CROPGRO-Soybean phenological model (CSPM) so as to exactly simulate the soybean phenology using the multi-source datasets of multi-site, multi-year, and multi-cultivar. …"
  12. 112

    Detailed information of the field experiments. حسب Yonghui Zhang (279832)

    منشور في 2025
    "…In this work, we modified Non-dominated Sorting Genetic Algorithm with the core algorithm of PEST (MNSGA-II) and compared it to two other algorithms of Generalized Likelihood Uncertainty Estimation (GLUE) and Differential Evolution (DE) to calibrate the cultivar-specific parameters (CSPs) of CROPGRO-Soybean phenological model (CSPM) so as to exactly simulate the soybean phenology using the multi-source datasets of multi-site, multi-year, and multi-cultivar. …"
  13. 113

    List of symbols used in this study. حسب Yonghui Zhang (279832)

    منشور في 2025
    "…In this work, we modified Non-dominated Sorting Genetic Algorithm with the core algorithm of PEST (MNSGA-II) and compared it to two other algorithms of Generalized Likelihood Uncertainty Estimation (GLUE) and Differential Evolution (DE) to calibrate the cultivar-specific parameters (CSPs) of CROPGRO-Soybean phenological model (CSPM) so as to exactly simulate the soybean phenology using the multi-source datasets of multi-site, multi-year, and multi-cultivar. …"
  14. 114

    Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air حسب Lulu Zhang (104611)

    منشور في 2023
    "…Five ML methods, Decision Tree (DT), Random Forest (RF), Back Propagation Neural Network (BPNN), Support Vector Machines (SVM), and Tree-based Pipeline Optimization Tool (TPOT), were used to predict the adsorption performance of MOFs. …"
  15. 115

    DEM error verified by airborne data. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  16. 116

    Error of ICESat-2 with respect to airborne data. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  17. 117

    Data used in this study. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
  18. 118

    Transect in parts of California. حسب Qinghua Li (398885)

    منشور في 2024
    "…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …"
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    Regression test. حسب Gayatree Nayak (15426871)

    منشور في 2023
    "…This research shows that using an ANN-based prediction model with a response surface methodology technique to estimate oil yield at a new site and maximize propolis oil yield at a specific site by adjusting variable parameters is a viable commercial option. …"