摘要
承载力是桩基工程中非常重要的参数,结合工程案例应用MATLAB软件,基于主成分分析法和径向基神经网络对桩基承载力进行了拟合、预测,和实测结果相比较,预测结果令人满意。
Bearing capacity is a very important parameter in pile foundation engineering. Based on the engineering case,the MATLAB software was used to simulate and predict the bearing capacity of the pile foundation by principal component analysis and radial basis neural network. Compared with the measured results,the prediction results are satisfactory.
引文
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[2]白晓宇,张明义,寇海磊,等.基于BP神经网络的静压桩承载力时间效应预测[J].工程勘察,2014(4):7-11.
[3]史永强,赵俭斌,杨军.基于主成分分析的优化神经网络模型及静压管桩单桩极限承载力预测[J].岩土力学,2011(S2):634-640.