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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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在高温下使用机器学习的纳米混凝土材料的压力强度

Abdullah M Zeyad1, Alaa A Mahmoud2, Alaa A El-Sayed2

  • 1Civil and Architectural Engineering Department, College of Engineering and Computer Sciences, Jazan University, Jazan 45142, Saudi Arabia., Jazan University, Jazan, Kingdom of Saudi Arabia. azmohsen@jazanu.edu.sa.

Scientific reports
|October 16, 2024
PubMed
概括

这项研究开发了人工智能 (AI) 模型,以预测暴露于热量后的混凝土强度. 水循环算法 (WCA) 提供了最准确的预测,并推导了余压强度 (RCS) 的实际方程.

关键词:
人工神经网络的人工神经网络升高的温度升高的温度升高.模糊的逻辑模型模拟模糊的逻辑模型.遗传算法 遗传算法 遗传算法机器学习是机器学习.纳米添加剂纳米添加剂水循环算法 水循环算法

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