| Content: |
https://pp.bme.hu/ci/article/view/19996 |
| Archive: |
PP Civil Engineering |
| Set: |
Research Article
|
| Title: |
Road Pavement Asphalt Concretes for Thin Wearing Layers: A Machine Learning Approach towards Stiffness Modulus and Volumetric Properties Prediction
|
| Creator: |
Baldo, Nicola
Miani, Matteo
Rondinella, Fabio
Manthos, Evangelos
Valentin, Jan
|
| Publisher: |
Budapest University of Technology and Economics
|
| Date: |
2022-09-28
|
| Subject: |
thin surface layer
mix design
stiffness modulus
machine learning
Bayesian Optimization
|
| Description: |
|
| Language: |
English
|
| Type: |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
|
| Format: |
application/pdf
|
| Identifier: |
https://pp.bme.hu/ci/article/view/19996
10.3311/PPci.19996
|
| Source: |
Periodica Polytechnica Civil Engineering; Vol. 66 No. 4 (2022); 1087-1097
1587-3773
0553-6626
|
| Relation: |
https://pp.bme.hu/ci/article/view/19996/9505
|
| Creator: |
Copyright (c) 2022 Periodica Polytechnica Civil Engineering
|
