摘要
基于神经网络的地表沉陷预测自适应模型,具有自组织、自学习和自适应功能,通过严格的训练和知识积累,该模型具有很好的预测、推理能力。
The adaptive model for prediction of surface subsidence is based on the neural networks.It has the functions of adaptation,self learning and self organization.After rigorous training and accumulating data,this model has strong ability of prediction and inference.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
1997年第6期98-102,共5页
Journal of the China Railway Society