Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement-Reference-Cited by-同舟云学术

Artificial neural networks (ANN), MARS, and adaptive network-based fuzzy inference system (ANFIS) to predict the stress at the failure of concrete with waste steel slag coarse aggregate replacement

Published:2023-03-12 Issue:18 Volume:35 Page:13293-13319
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Piro Nzar Shakr,Mohammed Ahmed^ORCID,Hamad Samir M.,Kurda Rawaz

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-023-08439-7.pdf

Reference79 articles.

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2. Domone P, Illston J (2010) Construction materials: their nature and behaviour/edited by Peter Domone and John Illston. 2010, Milton Park, Abingdon, Oxon; New York: Spon Press

3. Sharba AA (2019) The efficiency of steel slag and recycled concrete aggregate on the strength properties of concrete. KSCE J Civ Eng 23(11):4846–4851

4. Kalpavalli A, Naik S (2015) Use of demolished concrete wastes as coarse aggregates in high strength concrete production. Int J Eng Res Technol. ISSN, 2278-0181

5. Furlani E, Tonello G, Maschio S (2010) Recycling of steel slag and glass cullet from energy saving lamps by fast firing production of ceramics. Waste Manage 30(8–9):1714–1719

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