Developing a Hybrid ANN-Jaya Procedure for Backcalculation of Flexible Pavements Moduli

Autor:	Ali Reza Ghanizadeh, Nasrin Heidarabadizadeh, Vahid Khalifeh
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	artificial neural network (ann) backcalculation falling weight deflectometer (fwd) flexible pavements jaya optimization algorithm Engineering (General). Civil engineering (General) TA1-2040
Zdroj:	Civil Engineering Infrastructures Journal, Vol 55, Iss 1, Pp 89-108 (2022)
Druh dokumentu:	article
ISSN:	2322-2093 2423-6691
DOI:	10.22059/ceij.2021.310767.1710
Popis:	This research aim is to develop a procedure for backcalculation of flexible pavements moduli based on the hybridization of the Artificial Neural Network (ANN) and the Jaya optimization algorithm. The ANN was applied to predict the pavement deflection basin, and the Jaya was employed for moduli backcalculation. The comparison of hybrid ANN-Jaya procedure with some backcalculation software indicates the high ability of the developed method to perform backcalculation of flexible pavements moduli. The comparison of the computational speed and accuracy of hybrid ANN-Jaya with ANN-PSO and ANN-GA indicates the superior performance of ANN-Jaya compared to other methods.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/bc71f5b445b84ce2861153216da53678 Zobrazit plný text záznamu View record in DOAJ