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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Xehetasun bibliografikoak

Egile Nagusiak:	Mingke Zheng, Jinzhao Yin, Lei Zhang, Lihua Wu, Hao Liu
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Taylor & Francis Group 2026-01-01
Saila:	Journal of Asian Architecture and Building Engineering
Gaiak:	modulus of elasticity prediction recycled aggregate concrete multi-layer neural networks metaheuristic optimization
Sarrera elektronikoa:	http://dx.doi.org/10.1080/13467581.2025.2458809
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