基于带有偏差单元的递归神经网络的李家峡拱坝安全监控模型

Safety monitoring model of Lijiaxia Arch Dam based on recurrent neural network with bias elements

利用带有偏差单元的递归神经网络对BP网络进行改进,提高学习效率和泛化能力.建立了基于带有偏差单元的递归神经网络的李家峡拱坝安全监控模型,其预报精度优于常规的统计模型,为大坝安全监控提供了一条有效的思路和方法.

Recurrent Network with bias elements is applied to improve learning efficiency and capability of Back Propagation Network. Safety monitoringmodel of Lijiaxia Arch Dam basedon Recurrent Network with bias elements is established, its prediction precision is better than conventional statistical model. It is a new way to monitorthe safety of dam.