Comparison of response surface methodology and hybrid-training approach of artificial neural network in modelling the properties of concrete containing steel fibre extracted from waste tyres

Awolusi, Temitope F. and Oke, Oluwaseyi L. and Akinkurolere, Olufunke O. and Atoyebi, Olumoyewa D. (2019) Comparison of response surface methodology and hybrid-training approach of artificial neural network in modelling the properties of concrete containing steel fibre extracted from waste tyres. Cogent Engineering, 6 (1). ISSN 2331-1916

[img] Text
19. Comparison of RSM and hybrid training approach of ANN in modelling.pdf - Published Version
Download (1MB)
Official URL: http://dx.doi.org/10.1080/23311916.2019.1649852
Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Depositing User: Engr. Dr. Olumoyewa Dotun Atoyebi
Date Deposited: 17 Jan 2024 11:31
Last Modified: 17 Jan 2024 11:31
URI: https://eprints.lmu.edu.ng/id/eprint/5417

Actions (login required)

View Item View Item
Landmark University Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.