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Compressive strength dataset of foamed/normal concrete for prediction model

dataset
posted on 19.11.2018 by TUAN NGUYEN, TUAN NGO
The information on the concrete dataset is as follows:
1. The Dataset 1 contains 177 samples of foamed concrete.
References: Given in the excel file.
2. The Dataset 1A contains 34 samples of foamed concrete from the laboratory.
3. The Dataset 2 contains 1133 samples of high performance concrete.

The codes of machine learning models (e.g. HO-DNN, SO-ANN, and so on) are available upon request.
Please send emails to tuan.nguyen@unimelb.edu.au

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)

Funding

ARC Training Centre for Advanced Manufacturing of Prefabricated Housing

Australian Research Council

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