DocumentCode
3584626
Title
Investigation on lateral acceleration prediction of tilting passenger car based on neural networks
Author
Zhang, Jimin ; Zhang, Baoan ; Yang, Zhiqiang
Author_Institution
Railway&Urban Mass Transit Res. Inst., Tongji Univ., Shanghai, China
Volume
1
fYear
2010
Firstpage
349
Lastpage
352
Abstract
The multi-step coming controlled reference signals are predicted online by the neural network to satisfy the real time requirement of the titling passenger car and the program is achieved. The data from detected is simulated and the conclusion is that the neural network can predict the lateral acceleration of the titling train in the multi-step and what the lag result from all kinds reason may be compensated.
Keywords
neural nets; railway engineering; real-time systems; lateral acceleration prediction; multistep coming controlled reference signals; neural network; online prediction; real time requirement; tilting passenger car; tilting train; Acceleration; Artificial neural networks; Biological neural networks; Equations; Mathematical model; Prediction algorithms; Vehicles; multi-step prediction; neural network; tilting passenger car;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2010 Sixth International Conference on
Print_ISBN
978-1-4244-5958-2
Type
conf
DOI
10.1109/ICNC.2010.5583845
Filename
5583845
Link To Document