摘要
选择现场监测的围岩位移数据为样本,利用径向基函数RBF神经网络具有强大的非线性影射能力和收敛速度快的特点,建立围岩位移预测神经网络模型进行位移预测。通过工程实例监测数据测试表明预测值与实际位移植吻合较好,用该方法进行位移预测不仅有效而且可行。
A method of predicting surrounding rock displacement is set up by using the RBF nerve network＇s function of powerful nonlinear mapping and fast convergence rate, in which the monitoring data of surrounding rock displacement are chosen. From the monitoring data, it seems that the predicting data coincides well with the practical monitoring data, hence this method is not only effective but also feasible.
出处
《土工基础》
2007年第2期64-66,共3页
Soil Engineering and Foundation
