Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers-Reference-Cited by-同舟云学术

Artificial neural network (ANN), M5P-tree, and regression analyses to predict the early age compression strength of concrete modified with DBC-21 and VK-98 polymers

Published:2020-11-22 Issue:13 Volume:33 Page:7851-7873
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mohammed Ahmed^ORCID,Burhan Lajan,Ghafor Kawan,Sarwar Warzer,Mahmood Wael

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05525-y.pdf

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5. Kirgiz MS (2015) Strength gain mechanisms of blended-cements containing marble powder and brick powder. KSCE J Civil Eng 19(1):165–172

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