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Deep neural network with high-order neuron for the prediction of concrete strength

Published on by TUAN NGUYEN
This project aims to develop a deep neural network model to predict the properties of concrete material. References: 1. Nguyen T, Kashani A, Ngo T, Bordas S. Deep neural network with high‐order neuron for the prediction of foamed concrete strength. Comput Aided Civ Inf. 2018;1–17. https://doi.org/10.1111/mice.12422 2. Dac-Khuong Bui, Tuan Nguyen, Jui-Sheng Chou, H. Nguyen-Xuan, Tuan Duc Ngo, A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete, Construction and Building Materials, Volume 180, 2018, Pages 320-333, ISSN 0950-0618, https://doi.org/10.1016/j.conbuildmat.2018.05.201. (http://www.sciencedirect.com/science/article/pii/S0950061818312868)

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Funding

ARC Training Centre for Advanced Manufacturing of Prefabricated HousingAustralian Research CouncilFind out more...

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