Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete

In the present study, several hybrids and coupled forms of machine learning algorithms were developed to provide accurate elastic modulus of recycled aggregate concrete’s (ERAC) estimation, called multilayer perceptron neural networks (MLPNN). For this gain, a comprehensive dataset was collected fro...

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Autors principals:	Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2026-01-01
Col·lecció:	Journal of Asian Architecture and Building Engineering
Matèries:	modulus of elasticity prediction recycled aggregate concrete multi-layer neural networks metaheuristic optimization
Accés en línia:	http://dx.doi.org/10.1080/13467581.2025.2458809
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