Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks

DOI10.1016/J.NEUNET.2022.08.030zbMath1528.90077OpenAlexW4294725154MaRDI QIDQ6053228

Jinren Zhang, Wei Huang, Xingye Zhou, Xinli Shi, Cao, Jinde

Publication date: 18 October 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2022.08.030

zbMATH Keywords

analysis of influence factordirected graph convolution networksGRU-attentionmultivariate transfer entropyRIOHTrackrutting prediction

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Traffic problems in operations research (90B20)

Cites Work

• Wavelets on graphs via spectral graph theory
• Mathematical modeling for evolution of heterogeneous modules in the brain

This page was built for publication: Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks