0
  • DE
  • EN
  • FR
  • Base de données et galerie internationale d'ouvrages d'art et du génie civil

Publicité

A deep reinforcement learning approach to mountain railway alignment optimization

Auteur(s): (Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China)
(Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China)
(Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China)
(Department of Civil and Environmental Engineering University of Maryland College Park MD USA)
(School of Electrical Engineering Southwest Jiaotong University Chengdu China)
(School of Electrical Engineering Southwest Jiaotong University Chengdu China)
(Key Laboratory of High‐Speed Railway Engineering, Ministry of Education Southwest Jiaotong University Chengdu China)
Médium: article de revue
Langue(s): anglais
Publié dans: Computer-Aided Civil and Infrastructure Engineering, , n. 1, v. 37
Page(s): 73-92
DOI: 10.1111/mice.12694
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1111/mice.12694.
  • Informations
    sur cette fiche
  • Reference-ID
    10607235
  • Publié(e) le:
    15.05.2021
  • Modifié(e) le:
    07.01.2022
 
Structurae coopère avec
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine