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Updated: May 24, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

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一个混合框架:使用基于数学的微调优化单值分解和内核回归,以增强河流水位预测.

Iman Ahmadianfar1, Aitazaz Ahsan Farooque2,3, Mumtaz Ali4,5

  • 1Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran. im.ahmadian@gmail.com.

Scientific reports
|March 4, 2025
PubMed
概括

准确的河流水位预测对于安全至关重要. 一个新的混合模型,L-SKRidge,结合了多种技术进行精确的预测,超过了改善水资源管理的现有方法.

关键词:
核心脊回归的回归方法光梯度增强机器可以提高光梯度.RungeKutta 算法可以使用.单一值分解的分解方法预测水位的预测

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