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Updated: Jul 12, 2025

Surrogate Model Development for Digital Experiments in Welding
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一个新的神经进化框架,用于预测钻井操作中的钻头重量

Masrour Dowlatabadi1, Saeed Azizi2, Mohsen Dehbashi3

  • 1Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. masror.dolatabadi@srbiau.ac.ir.

Scientific reports
|October 29, 2023
PubMed
概括

这项研究表明,基于生物地理学的优化 (BBO) 显著提高了人工神经网络 (ANN) 估计比特重量 (WOB) 的性能. 与其他方法相比,BBO-ANN模型提供了更高的精度,提高了钻井效率.

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