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A study on structural deformation of platform screen door based on artificial neural network
Ist Teil von
2015 International Conference on Fluid Power and Mechatronics (FPM), 2015, p.370-373
Ort / Verlag
IEEE
Erscheinungsjahr
2015
Quelle
IEEE/IET Electronic Library (IEL)
Beschreibungen/Notizen
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.