Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete

Author:

Awolusi T.F.,Oke O.L.,Akinkurolere O.O.,Sojobi A.O.,Aluko O.G.ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference44 articles.

1. Evaluation of consistency properties of freshly mixed concrete by cone penetration test;Abd Elaty;HBRC Journal,2016

2. Use of steel fibers recovered from waste tyres as reinforcement in concrete: pull-out behaviour, compressive and flexural strength;Aiello;Waste Manag.,2009

3. Fuzzy Logic and Neural Networks: Basic Concepts and Applications;Alavala,2008

4. Artificial neural network to evaluate polyvinylchloride composites’ properties;Altarazi;Comput. Mater. Sci.,2018

5. Testing Fresh Concrete e Part 2: Slump-test;BS EN 12350-12352,2009

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