Application of the collision mathematical model based on a BP neural network in railway vehicles

Modeling the energy consumption of trains by applying neural networks

(2017) Juan D Pineda-Jaramillo et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

A data-driven dynamics simulation framework for railway vehicles

(2017) Yinyu Nie et al.   VEHICLE SYSTEM DYNAMICS

Data-driven train set crash dynamics simulation

(2016) Zhao Tang et al.   VEHICLE SYSTEM DYNAMICS

Machine learning from computer simulations with applications in rail vehicle dynamics

(2016) Mehdi Taheri et al.   VEHICLE SYSTEM DYNAMICS

An artificial neural network model as a preliminary track design tool

(2015) Laura Montalbán Domingo et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

Highway-rail grade crossing safety challenges for shared operations of high-speed passenger and heavy freight rail in the U.S.

(2014) Samantha G. Chadwick et al.   SAFETY SCIENCE

On fault isolation for rail vehicle suspension systems

(2014) Xiukun Wei et al.   VEHICLE SYSTEM DYNAMICS

Data-based modeling of vehicle collisions by nonlinear autoregressive model and feedforward neural network

(2012) Witold Pawlus et al.   INFORMATION SCIENCES

Crash and structural analyses of an aluminium railroad passenger car

(2012) C. Baykasoglu et al.   INTERNATIONAL JOURNAL OF CRASHWORTHINESS

Modelling and analysis of the crush zone of a typical Australian passenger train

(2012) Y. Q. Sun et al.   VEHICLE SYSTEM DYNAMICS

Intelligent Vehicle Power Control Based on Machine Learning of Optimal Control Parameters and Prediction of Road Type and Traffic Congestion

(2009) Jungme Park et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Challenges in simulation of rail vehicle dynamics

(2009) Jerry Evans et al.   VEHICLE SYSTEM DYNAMICS