Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study

Prediction models for marshall mix parameters using bio-inspired genetic programming and deep machine learning approaches: A comparative study

This research study utilizes four machine learning techniques, i.e., Multi Expression programming (MEP), Artificial Neural Network (ANN), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Ensemble Decision Tree Bagging (DT-Bagging) for the development of new and advanced models for prediction of Ma...

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Bibliographic Details
Main Authors: Fadi Althoey, Muhammad Naveed Akhter, Zohaib Sattar Nagra, Hamad Hassan Awan, Fayez Alanazi, Mohsin Ali Khan, Muhammad Faisal Javed, Sayed M. Eldin, Yasin Onuralp Özkılıç
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Case Studies in Construction Materials
Subjects:
Marshall Mix Parameter
Deep Learning
Prediction models
Asphalt
Bio-Inspired models
Online Access:http://www.sciencedirect.com/science/article/pii/S2214509522009068

Internet

http://www.sciencedirect.com/science/article/pii/S2214509522009068

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