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...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
Taylor & Francis Group
2025-02-01
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| 丛编: | Journal of Asian Architecture and Building Engineering |
| 主题: | |
| 在线阅读: | http://dx.doi.org/10.1080/13467581.2025.2458809 |