Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

Advances in Engineering Software - Tập 115 - Trang 112-125 - 2018
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬1,2, Ravinesh C. Deo3, Ameer A. Hilal4, M. Abbas5, Laura Cornejo Bueno6, Sancho Salcedo‐Sanz6, Moncef L. Nehdi7
1Civil and Structural Engineering Department, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 UKM, Bangi, Selangor Darul Ehsan, Malaysia
2Dams and Water Resources Department, College of Engineering, University of Anbar, Ramadi, Iraq
3School of Agricultural, Computational and Environmental Sciences, Institute of Agriculture and Environment (IAg&E), University of Southern Queensland, QLD 4300, Australia
4Civil Engineering Department/College of Engineering/University of Anbar, Iraq
5Architectural Engineering Department, College of Engineering, University of Diyala, Iraq
6Department of Signal Processing and Communications, Universidad de Alcalá, Madrid, Spain
7Department of Civil and Environmental Engineering, Western University, London, Canada

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