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Updated: May 23, 2025

Production and Analysis of Sporosarcina pasteurii Biocement Bricks Using Custom 3D-Printed Molds for Unconfined Compression Tests
05:36

Production and Analysis of Sporosarcina pasteurii Biocement Bricks Using Custom 3D-Printed Molds for Unconfined Compression Tests

Published on: March 7, 2025

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预测聚合物注入的压力强度:一种机器学习方法,具有SHAP可解释性

Sathvik Sharath Chandra1, Rakesh Kumar1, Archudha Arjunasamy2

  • 1Department of Civil Engineering, Dayananda Sagar College of Engineering, Bengaluru, 560111, India.

Scientific reports
|March 8, 2025
PubMed
概括

这项研究从废弃聚合物中开发出环保,并使用机器学习来预测其强度. 人工神经网络 (ANN) 和随机森林模型显示出高准确性,年龄和飞灰是关键因素.

关键词:
在 AdaBoost 上,我们可以使用 AdaBoost.人工神经网络的人工神经网络混合的比例 混合的比例聚合物块是一种聚合物块.随机的森林随机的森林支持矢量机器的支持矢量机器.废物 废物 废物 废物

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