摘要
利用人工神经网络强大的非线性映射和学习能力,提出了基于人工神经网络的复合地基沉降预测新方法.该方法利用实测资料直接建模,避免了传统方法计算过程中各种人为因素的干扰,所建立的模型预测精度高、简便易行,因此具有广泛的工程实用价值.
By the use of the strong nonlinear mapping and learning ability of artificial neural networks（ANN）, a new method for evaluating final settlement of composite foundation is presented in this paper. Since the model of this method is directly based on real samples, it can avoid the mistakes due to factitiousness in traditional methods. It is proved that the prediction model is accurate and easy to operate, so the method has a widely practical engineering value.
出处
《青岛理工大学学报》
CAS
2007年第3期32-35,共4页
Journal of Qingdao University of Technology
关键词
人工神经网络
复合地基
沉降预测
artificial neural network
composite foundation
settlement prediction
