Compressive strength dataset of foamed/normal concrete for prediction model
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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.<br>2. The Dataset 1A contains 34 samples of foamed concrete from the laboratory.3. The Dataset 2 contains 1133 samples of high performance concrete.<br>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<br>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.124222. 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)
提供机构：
University of Melbourne
创建时间：
2018-11-19
