摘要
针对深基坑支护结构变形控制的重要性,提出了基于人工神经网络技术的变形预测模型,实例计算说明,动态、实时的神经网络预测方法能够很好地解决工程实际问题。
Aiming at the importance of deformation control in deep foundation pits, this paper presents the displacement prediction model based on artificial neural network, a case shows that the dynamic and real-time ANN prediction technique can solve the factual problems successfully.
出处
《工程建设与设计》
2007年第3期38-40,共3页
Construction & Design for Engineering
关键词
深基坑
变形预测
人工神经网络
deep foundation pit
displacement prediction
artificial neural network