The University of Melbourne
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Compressive strength dataset of foamed/normal concrete for prediction model

Version 2 2018-11-19, 22:46
Version 1 2018-11-19, 22:45
posted on 2018-11-19, 22:46 authored by TUAN NGUYENTUAN NGUYEN, TUAN NGOTUAN 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

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.
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, (


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