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Updated: May 16, 2025

Applicability Analysis of Assessment Methods for Morphological Parameters of Corroded Steel Bars
10:24

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Published on: November 1, 2018

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一种机器学习方法用于比哈尔邦帕特纳水分网的腐蚀率建模

Saurabh Kumar1, Uruya Weesakul2, Divesh Ranjan Kumar3

  • 1Research Unit in Climate Change and Sustainability, Department of Civil Engineering, Faculty of Engineering, Thammasat School of Engineering, Thammasat University, Pathumthani, 12120, Thailand.

Scientific reports
|April 5, 2025
PubMed
概括

机器学习模型,包括MARS,GMDH和MPMR,用于预测水管腐蚀率. 多变量适应回归支柱 (MARS) 模型在预测腐蚀方面表现出最高的准确性,这对于保持水质至关重要.

关键词:
腐蚀速率 腐蚀速率 腐蚀速度优惠券减肥 减肥 优惠券减肥 减肥的 GMDH 的 GMDH.火星是火星的星球这就是MPMR的MPMR.

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