Name
Title | ||
|---|---|---|
Investigation on lateral acceleration prediction of tilting passenger car based on neural networks |
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICNC.2010.5583845 | ICNC |
Keywords | DocType | Volume |
neural network,tilting train,lateral acceleration prediction,online prediction,multi-step prediction,tilting passenger car,multistep coming controlled reference signals,railway engineering,neural nets,real-time systems,real time requirement,acceleration,real time systems,real time,artificial neural networks,mathematical model,prediction algorithms,satisfiability | Conference | 1 |
ISBN | Citations | PageRank |
978-1-4244-5958-2 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jimin Zhang | 1 | 1 | 1.64 |
| Baoan Zhang | 2 | 2 | 2.37 |
| Zhiqiang Yang | 3 | 1 | 0.96 |