Thermal features prediction in asphalt pavements using ANFIS-based regression

Abstract This paper aims to develop predictive models for the thermal properties of laboratory-prepared hot mix asphalt (HMA) specimens using the Adaptive Neuro-Fuzzy Inference System (ANFIS). The thermal properties investigated include thermal conductivity, thermal diffusivity, and specific heat. T...

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Bibliographic Details
Main Authors: Mohammad Ali Khasawneh, Hiren Mewada, Ahmad Ali Khasawneh, Ansam Adnan Sawalha
Format: Article
Language:English
Published: Springer 2025-05-01
Series:Discover Civil Engineering
Subjects:
Online Access:https://doi.org/10.1007/s44290-025-00257-1
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