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Updated: Jan 13, 2026

Experimental Multiscale Methodology for Predicting Material Fouling Resistance
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Experimental Multiscale Methodology for Predicting Material Fouling Resistance

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在聚合物复合材料中侵蚀-腐蚀的智能建模:整合模糊逻辑和机器学习

Hazzaa F Alqurashi1, Mohammed Y Abdellah2,3, Mubark Alshareef4

  • 1Mechanical Engineering Department, College of Engineering and Architecture, Umm Al-Qura University, P.O. Box 5555, Makkah 21955, Saudi Arabia.

Polymers
|January 10, 2026
PubMed
概括

结合模糊逻辑和人工神经网络 (ANN) 的新混合智能模型准确地预测玻璃纤维增强管道 (GRP) 的侵蚀腐蚀. 最佳条件将材料降解降至最低,以提高GRP系统的寿命.

关键词:
在GRP中,GRP是GRP.人工神经网络的人工神经网络腐蚀腐蚀是一种腐蚀.侵蚀 侵蚀 侵蚀 侵蚀模糊的逻辑模糊的逻辑

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