Long and Short-Term Memory Mechanism Hybrid Model for Speed Trajectory Prediction of Heavy Haul Trains*
Author:
Affiliation:
1. Northeastern University,State Key Laboratory of Synthetical Automation for Process Industries,Shenyang,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371778/10371788/10371907.pdf?arnumber=10371907
Reference20 articles.
1. A fast and elitist multiobjective genetic algorithm: NSGA-II
2. Distributed optimal control for multiple high-speed train movement: An alternating direction method of multipliers
3. Vehicle Dynamics Model for Estimating Typical Vehicle Accelerations
4. Adaptive Iterative Learning Control for High-Speed Trains With Unknown Speed Delays and Input Saturations
5. Optimal Scheduling and Control of Heavy Haul Trains Equipped With Electronically Controlled Pneumatic Braking Systems
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1. The Wheel–Rail Contact Force for a Heavy-Load Train Can Be Measured Using a Collaborative Calibration Algorithm;Information;2024-09-02
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