Compressive strength dataset of foamed/normal concrete for prediction model

Version 2 2018-11-19, 22:46

Version 1 2018-11-19, 22:45

dataset

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 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)