Modeling asphalt pavement condition using artificial neural networks-Reference-Cited by-同舟云学术

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Modeling asphalt pavement condition using artificial neural networks

Published:2022 Issue: Volume:62 Page:1671-1676
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Vyas Vidhi,Pratap Singh Ajit,Anshuman

Publisher

Elsevier BV

Subject

General Medicine

Reference37 articles.

1. Pavement analysis and design;Huang,2004

2. American Association of State Highway and Transportation Officials. AASHTO: Guide for design of pavement structures. Washington D.C.; 1993.

3. American Association of State Highway and Transportation Officials. AASHTO: Mechanistic-empirical pavement design guide, interim edition: a manual of practice. Washington D.C.; 2008.

4. Highway Research Board. HRB: The AASHO road test report 7. Washington, D.C: National Academy of Sciences-National Research Council; 1961.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Strength prediction of asphalt mixture under interactive conditions based on BPNN and SVM;Case Studies in Construction Materials;2024-12

2. A Bayesian decision support system for optimizing pavement management programs;Heliyon;2024-02

3. Time-series forecasting of road distress parameters using dynamic Bayesian belief networks;Construction Innovation;2023-10-05

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