Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction

Development of a Hybrid Machine Learning Model for Asphalt Pavement Temperature Prediction

Machine learning (ML) models are excellent alternative solutions to model complex engineering issues with high reliability and accuracy. This paper presents two extensively explored ensemble models for predicting asphalt pavement temperature, the Markov chain Monte Carlo (MCMC) and random forest (RF...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdalrhman Abrahim Milad, Ibrahim Adwan, Sayf A. Majeed, Zubair Ahmed Memon, Munder Bilema, Hend Ali Omar, Maher G. M. Abdolrasol, Aliyu Usman, Nur Izzi Md Yusoff
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Geophysical monitoring
hybridisation algorithms
machine learning
measurement
pavement temperature profile
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Online Access:https://doaj.org/article/de693643f8ab4c7680d51218dff2d2d2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/de693643f8ab4c7680d51218dff2d2d2

Similar Items