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Updated: Feb 13, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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整合优化和机器学习来估计页岩砂储中的水电阻和和

Muhammad A El Hameedy1, Walid M Mabrouk2, Ahmed M Metwally2

  • 1Department of Geophysics, Faculty of Science, Cairo university, Giza, 12613, Egypt. mashraf@sci.cu.edu.eg.

Scientific reports
|February 11, 2026
PubMed
概括

本研究引入了一个数据驱动的框架,使用数值优化和机器学习 (ML) 准确估计形成水电阻 (Rw) 和预测页岩砂储水中的水和 (Sw),克服数据稀缺的挑战.

关键词:
组合学习学习 组合学习机器学习 机器学习神经网络的神经网络的神经网络优化优化 优化优化沙利 - 沙水库的水库.估计水电阻的估计方法

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