Multi-source data fusion method for structural safety assessment of water diversion structures
Building safety assessment based on single sensor data has the problems of low reliability and high uncertainty. Therefore, this paper proposes a novel multi-source sensor data fusion method based on Improved Dempster–Shafer (D-S) evidence theory and Back Propagation Neural Network (BPNN). Before da...
Enregistré dans:
Auteurs principaux: | Sherong Zhang, Ting Liu, Chao Wang |
---|---|
Format: | article |
Langue: | EN |
Publié: |
IWA Publishing
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/3709b302711d41d583722ad0797c6e8c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Corrigendum: Journal of Hydroinformatics 23 (1), 76–87: Sara4r: an R graphical user interface (GUI) to estimate watershed surface runoff applying the NRCS – curve number method, Rafael Hernández-Guzmán, Arturo Ruiz-Luna and Eduardo Mendoza. https://doi.org/10.2166/hydro.2020.087
Publié: (2021) -
Editorial – Making Water Smart
par: Ed Keedwell
Publié: (2021) -
Editorial: Important news about this journal
Publié: (2021) -
Fair and Effective Policing for Neighborhood Safety: Understanding and Overcoming Selection Biases
par: Weijeiying Ren, et autres
Publié: (2021) -
THE EXPERT SYSTEM OF CONTROL AND KNOWLEDGE ASSESSMENT
par: V. Golovachyova, et autres
Publié: (2020)