基于BP人工神经网络理论——对贵阳市埋地燃气管线腐蚀剩余寿命研究

Counter the remaining life of Gniyang gas pipeline Based on the study of BP artificial neural network

在对BP人工神经网络研究的基础上，利用现场测的腐蚀数据，建立了人工神经网络腐蚀剩余寿命模型。通过对现场数据的学习，BP人工神经网络可以很好的再现数据里的隐含规律，其结果与实测数据吻合得很好。

Based on the study of BP artificial neural network , using data which is got on scene as sample set to train BP artificial neural network, the model of predict remaining life was established. The research results showed that：the corrosion remaining life of gas pipeline could be predicted by the trained artificial neural network and were basically in agreement with experimental data.