Evaluating the Effect of Climate Change in Pavement Performance Modeling Using Artificial Neural Network Approach-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Evaluating the Effect of Climate Change in Pavement Performance Modeling Using Artificial Neural Network Approach

Published:2022-08-31 Issue: Volume: Page:
ISSN:
Container-title:International Conference on Transportation and Development 2022
language:
Short-container-title:

Author:

Salma S.¹²³²,Hakan Y.¹²³²,Rulian B.¹²³²,Jacob N.¹²³²

Affiliation:

1. Dept. of Civil and Environmental Engineering, Univ. of Mississippi, Oxford, MS.

2. Dept. of Civil and Environmental Engineering, Univ. of Mississippi, Oxford, MS

3. Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Mississippi, Oxford, MS

Publisher

American Society of Civil Engineers

Link

https://ascelibrary.org/doi/pdf/10.1061/9780784484357.005

Reference22 articles.

1. Attoh-Okine N. O. (1994). “Predicting Roughness Progression in Flexible Pavements Using Artificial Neural Networks.” 3rd International Conference on Managing Pavements 1(1) 55–62.

2. Barros, R., Yasarer, H., and Sultana, S. (2022). International Roughness Index Model for Composite Pavements in the LTPP Wet Non-Freeze Climate Region: Machine Learning and Regression Approaches. Transportation Research Board, 1–17.

3. Roughness Modeling for Composite Pavements using Machine Learning;Barros R.;IOP Conference Series: Material Science and Engineering,2021

4. Pavement Roughness Modeling Using Back-Propagation Neural Networks

5. Hunt A. and Watkiss P. (2011). Opus: University of bath online publication store climate change impacts and adaptation in cities: A review of the literature. Online 104 13–49.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP