Title :
A study on structural deformation of platform screen door based on artificial neural network
Author :
Zhifei Wang;Tingming Kan;Yu Wang;Yanfang Zuo;Dechun Xia;Dong Chen;Ansheng Sun;Pengfei Han
Author_Institution :
Institute of Computing Technology, China Academy of Railway Sciences, Beijing 100081, China
Abstract :
In order to analyze the influence of flexural rigidity of platform screen door in cities, the BP artificial neural network is used, and through optimization of calculation method and training of the samples and after several efforts dereferencing of hidden layer and all hidden units the trainlm training function is selected and a artificial neural network for rigidity predication is established. The analysis results show that: the biggest relative error between the predicated value and measured value obtained through experiment of flexural rigidity of urban railway PSD is 6.7% and the artificial neural network model has higher prediction accuracy.
Keywords :
"Artificial neural networks","Biological neural networks","Training","Rails","Neurons","Rail transportation"
Conference_Titel :
Fluid Power and Mechatronics (FPM), 2015 International Conference on
DOI :
10.1109/FPM.2015.7337142