Showing 3,301 - 3,320 results of 21,342 for search '(( significant decrease decrease ) OR ( significant ((broader decrease) OR (greatest decrease)) ))', query time: 0.59s Refine Results
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    Major hyperparameters of RF-SVR. by Jintao Li (448681)

    Published 2024
    “…Similarly, at the Lianghekou station, for a one-month lead prediction period, the RF-MLPR model’s R<sup>2</sup> value was 7.9% higher than that of the RF-SVR model. The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”
  10. 3310

    Pseudo code for coupling model execution process. by Jintao Li (448681)

    Published 2024
    “…Similarly, at the Lianghekou station, for a one-month lead prediction period, the RF-MLPR model’s R<sup>2</sup> value was 7.9% higher than that of the RF-SVR model. The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”
  11. 3311

    Major hyperparameters of RF-MLPR. by Jintao Li (448681)

    Published 2024
    “…Similarly, at the Lianghekou station, for a one-month lead prediction period, the RF-MLPR model’s R<sup>2</sup> value was 7.9% higher than that of the RF-SVR model. The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”
  12. 3312

    Results of RF algorithm screening factors. by Jintao Li (448681)

    Published 2024
    “…Similarly, at the Lianghekou station, for a one-month lead prediction period, the RF-MLPR model’s R<sup>2</sup> value was 7.9% higher than that of the RF-SVR model. The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”
  13. 3313

    Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

    Published 2024
    “…Similarly, at the Lianghekou station, for a one-month lead prediction period, the RF-MLPR model’s R<sup>2</sup> value was 7.9% higher than that of the RF-SVR model. The significance of this research lies not only in its contribution to improving hydrological prediction accuracy but also in its broader applicability. …”
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