摘要
采用径向基函数(RBF)神经网络来预测基坑支护结构水平变形,是人工神经网络在解决岩土工程方面的一种新的尝试。结果表明,该方法有收敛速度较快、预测精度高等优点。
The RBF artificial neural network is used to forcast horizontal displacement of timbering structures of pothole. It is an attempt to solve the problem of geotechnical engineering with artificial neural network. And the results suggest that the method is feasible.
出处
《广西工学院学报》
CAS
2005年第1期12-14,共3页
Journal of Guangxi University of Technology
