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Updated: May 7, 2026

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors
08:49

Manufacturing Simple and Inexpensive Soil Surface Temperature and Gravimetric Water Content Sensors

Published on: December 21, 2019

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基于ANN的群体智能用于预测广的土壤膨胀压力和压缩强度

Fazal E Jalal1,2, Mudassir Iqbal3, Waseem Akhtar Khan4

  • 1State Key Laboratory of Intelligent Geotechnics and Tunnelling, College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, 518060, Guangdong, China. jalal@szu.edu.cn.

Scientific reports
|June 25, 2024
PubMed
概括

这项研究将人工神经网络 (ANN) 与优化算法集成在一起,以预测膨胀的土壤特性. ANN-MPA模型在预测膨胀压力和不受限制的压缩强度方面表现出卓越的准确性.

关键词:
一个年龄,一个年龄.广的土壤 广的土壤这就是GWO GWO.这是一个MPA,MPA是MPA.超听证学是一种超听证学.公共服务人员 (PSO)在SMA中,SMA就是SMA.

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