An ANN-Based Approach for Nondestructive Asphalt Road Density Measurement-Reference-Cited by-同舟云学术

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An ANN-Based Approach for Nondestructive Asphalt Road Density Measurement

Published:2024-09 Issue:3 Volume:150 Page:
ISSN:2573-5438
Container-title:Journal of Transportation Engineering, Part B: Pavements
language:en
Short-container-title:J. Transp. Eng., Part B: Pavements

Author:

Li Muyang¹,Huang Loulin²^ORCID,Pidwerbesky Bryan³

Affiliation:

1. School of Engineering, Computer and Mathematical Sciences, Auckland Univ. of Technology, 6 St Paul St., Auckland 1010, New Zealand.

2. Professor, School of Engineering, Computer and Mathematical Sciences, Auckland Univ. of Technology, 6 St Paul St., Auckland 1010, New Zealand (corresponding author). ORCID: .

3. Fulton Hogan Ltd., 15 Sir William Pickering Dr., Christchurch 8053, New Zealand.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JPEODX.PVENG-1354

Reference20 articles.

1. Comparison of the field measurements of asphalt concrete densities obtained by ground-penetrating radar, pavement quality indicator and the borehole coring methods;Ameri M.;Road Mater. Pavement Des.,2014

2. Tuning the parameters of an artificial neural network using central composite design and genetic algorithm;Bashiri M.;Sci. Iran.,2011

3. Comparative Evaluation of Distress Prediction Modeling of Village Roads in India Using Regression and ANN Techniques

4. Neural Network–Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes

5. A novel neural network-based asphalt compaction analyzer

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