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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2023
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| Online Access: | http://journalarticle.ukm.my/22757/7/11.pdf http://journalarticle.ukm.my/22757/ https://www.ukm.my/jkukm/volume-3504-2023/ |
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