Prediction of Compressive Strength of High-Performance Concrete: Hybrid Artificial Intelligence Technique-Reference-Cited by-同舟云学术

Prediction of Compressive Strength of High-Performance Concrete: Hybrid Artificial Intelligence Technique

Published:2020 Issue: Volume: Page:323-335
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Hameed Mohammed Majeed^ORCID,AlOmar Mohamed Khalid^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-38752-5_26

Reference18 articles.

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2. Khademi, F., et al.: Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive strength of concrete. Front. Struct. Civil Eng. 11(1), 90–99 (2017)

3. Khademi, F., Behfarnia, K.: Evaluation of concrete compressive strength using artificial neural network and multiple linear regression models. Iran Univ. Sci. Technol. 6(3), 423–432 (2016)

4. Fiyadh, S.S., et al.: The modelling of lead removal from water by deep eutectic solvents functionalized CNTs: artificial neural network (ANN) approach. Water Sci. Technol. 76(9), 2413–2426 (2017)

5. Fiyadh, S.S., et al.: Arsenic removal from water using N, N-diethylethanolammonium chloride based DES-functionalized CNTs: (NARX) neural network approach. J. Water Supply: Res. Technol.-Aqua 67(6), 531–542 (2018)

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