摘要
根据软土地基沉降的基本特征 ,提出了一种基于人工神经网络 (ANN)技术的软土地基沉降预测新方法。通过对由实测资料形成的数据样本的训练学习 ,建立了可用于预测软土地基沉降量的 E1m an模型。实例检验证明 ,该网络的学习是成功的 ,具有一定的可靠性和实用性。
According to the basic feature of the settlement of soft ground,in this paper it presents a new artificial neural network-based(ANN) approach to predict settlement of soft ground.A Elman network model for foresting the settlement of soft ground is established by training real samples.Checked by some examples,the network is proved to be working successfully and has certain practical yalue.
出处
《港工技术》
北大核心
2004年第2期44-46,共3页
Port Engineering Technology
