Neuro-fuzzy modeling of rotation capacity of wide flange beams

Authors:
Abdulkadir Cevik
Affiliations:
Department of Civil Engineering, University of Gaziantep, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 3
Cited 0

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Abstract

This study is a pioneer work that investigates the feasibility of neuro-fuzzy (NF) approach for the modeling of rotation capacity of wide flange beams. The database for the NF modeling is based on experimental studies from literature. The results of the NF model are compared with numerical results obtained by a specialized computer programme and existing analytical and genetic programming based equations. The results indicate that the proposed NF model performs better. By using the proposed NF model, a wide range of parametric studies are also performed to evaluate the main effects of each variable on rotation capacity.