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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書誌詳細
主要な著者: Abdalrhman Milad,, Amirah Haziqah Mohamad Zaki,, Nur Izzi Md. Yusoff,
フォーマット: 論文
言語:English
出版事項: Penerbit Universiti Kebangsaan Malaysia 2023
オンライン・アクセス: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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