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Description: important to grasp the state of track irregularity for guaranteeing the train operation safety. Due to it
is difficult to detected different bands irregularities with a single inertial amount } a method was pro-
posed to assess the vertical track irregularities based on Nonlinear Auto}egressive with exogenous
input Neural Networks(NARX).A coupling dynamics model of vertical vehicle}rack interactions
was developed with the actual measured track irregularity data from high}peed line as input to ob-
twin the simulation a plurality inertia data. Then } NARX neural network } with the normalization
simulation a plurality inertia data as the input and track irregularity as the output } was built to assess
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基于NARX神经网络的轨道垂向不平顺估计_王贵.caj
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