Imporved model for pavement performance prediction based on recurrent neural network using LTPP database-Reference-Cited by-同舟云学术

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Imporved model for pavement performance prediction based on recurrent neural network using LTPP database

Published:2024-08 Issue: Volume: Page:
ISSN:2046-0430
Container-title:International Journal of Transportation Science and Technology
language:en
Short-container-title:International Journal of Transportation Science and Technology

Author:

Chen Luchuan,Li Hui,Wang Shuo,Shan Fei,Han Yuzhao,Zhong Guoqiang

Publisher

Elsevier BV

Reference29 articles.

1. Empirical-Markovian approach for estimating the flexible pavement structural capacity: Caltrans method as a case study;Abaza;Int. J. Transp. Sci. Technol.,2021

2. International roughness index prediction for rigid pavements: An artificial neural network application;Abd El-Hakim;Adv. Mater. Res.,2013

3. The pavement performance modeling: Deterministic vs stochastic approaches;Amin;Numer. Methods Reliab. Saf. Assess.,2015

4. Analysis of learning rate and momentum term in backpropagation neural network algorithm trained to predict pavement performance;Attoh-Okine;Adv. Eng. Softw.,1999

5. Pavement Roughness Modeling Using Back-Propagation Neural Networks;Choi;Comput. Civ. Infrastruct. Eng.,2004

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