Predicting the rheological properties of bitumen-filler mastic using machine learning techniques

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Predicting the rheological properties of bitumen-filler mastic using machine learning techniques

This study uses the artificial neural network and response surface methodology to develop two models for predicting the rheological properties, complex modulus (G*) and phase angle (δ) of bitumen-filler mastic. It also analyses and evaluates the accuracy of both models by determining the coefficient...

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Bibliographic Details
Main Authors:	Abdalrhman Milad, Amirah Haziqah Mohamad Zaki, Nur Izzi Md. Yusoff
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2023
Online Access:	http://journalarticle.ukm.my/22757/ http://journalarticle.ukm.my/22757/7/11.pdf

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