Compressive strength dataset of foamed/normal concrete for prediction model TUAN NGUYEN TUAN NGO 10.26188/5bf33d0980a11 https://melbourne.figshare.com/articles/dataset/Compressive_strength_dataset_of_foamed_normal_concrete_for_prediction_model/7028369 <div>The information on the concrete dataset is as follows:</div>1. The Dataset 1 contains 177 samples of foamed concrete. <div>References: Given in the excel file.<br><div>2. The Dataset 1A contains 34 samples of foamed concrete from the laboratory.</div><div>3. The Dataset 2 contains 1133 samples of high performance concrete.</div><div><br></div><div><div>The codes of machine learning models (e.g. HO-DNN, SO-ANN, and so on) are available upon request.</div><div>Please send emails to tuan.nguyen@unimelb.edu.au</div></div><div><br></div><div>References:</div></div><div>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</div><div>2. Dac-Khuong Bui, Tuan Nguyen, Jui-Sheng Chou, H. Nguyen-Xuan, Tuan Duc Ngo,</div><div>A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete,</div><div>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)</div> 2018-11-19 22:46:10 Concrete Artificial Neural Network Modelling prediction models Machine Learning Techniques compressive strength Construction Engineering Construction Materials Civil Engineering not elsewhere classified