Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams-Reference-Cited by-同舟云学术

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Evolutionary multivariate adaptive regression splines for estimating shear strength in reinforced-concrete deep beams

Published:2014-02 Issue: Volume:28 Page:86-96
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Cheng Min-Yuan^ORCID,Cao Minh-Tu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference46 articles.

1. ACI-318, ACIC, 1995. Building Code Requirements for Reinforced Concrete (ACI 318M-95) and Commentary, ACI 318RM-95. American Concrete Institute.

2. ACI-318, ACIC, 2004. 318-05/318R-05: Building Code Requirements for Structural Concrete and Commentary. American Concrete Institute, p. 432.

3. ACI-318, ACIC, 2008. 318-08: Building Code Requirements for Structural Concrete and Commentary. American Concrete Institute.

4. ACI-318, ACIC, 2011. 318-11: Building Code Requirements for Structural Concrete and Commentary. American Concrete Institute.

5. Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network;Amani;Sci. Iran.,2012

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