【摘要】 在径向基函数神经网络的基本原理基础上,通过对影响单桩极限承载力因素的分析,建立了单桩极限承载力设计的GRNN模型,并进行了实例分析。计算结果具有较高的精度和收敛速度快等特点,是一种行之有效的预测单桩极限承载力方法。更多还原

【Abstract】 In this paper, based on the main principle of RBF Neural Network, the affecting elements of the bearing capacity of single piles are analyzed. The GRNN model of ultimate bearing capacity of single piles is founded. By means of neural network toolbox of MATLAB, an example is calculated. The results are more accurate with higher convergent rate. This method is practical and effective in estimating vertical ultimate bearing capacity of single piles更多还原