Prediction of concrete elastic modulus using adaptive neuro-fuzzy inference system

Authors: CÃ¼neyt Aydin, Abdulkadir; Tortum, Ahmet; Yavuz, Murat

Source: Civil Engineering and Environmental Systems, Volume 23, Number 4, December 2006 , pp. 295-309(15)

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Abstract:

<p>The prediction of elastic modulus is one of the fundamental facts of structural engineering studies. The performance of adaptive neuro-fuzzy inference system (ANFIS) for predicting the elastic modulus of normal- and high-strength concrete was investigated. Results indicate that the proposed ANFIS modeling approach outperforms the other given models in terms of prediction capability. According to the results, the ANFIS approach is a viable tool for modeling the elastic modulus, as it results in more accurate predictions.</p>

Keywords: Adaptive neuro-fuzzy inference systems; Concrete; Compressive strength; Elastic modulus

Document Type: Research article

DOI: http://dx.doi.org/10.1080/10286600600772348

Affiliations: 1: Department of Civil Engineering, Engineering Faculty, AtatÃ¼rk University, 25240, Erzurum, Turkey

Publication date: 2006-12-01

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