Neuro-fuzzy modeling of rotation capacity of wide flange beams
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- @Article{Cevik20115650,
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author = "Abdulkadir Cevik",
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title = "Neuro-fuzzy modeling of rotation capacity of wide
flange beams",
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journal = "Expert Systems with Applications",
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volume = "38",
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number = "5",
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pages = "5650--5661",
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year = "2011",
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ISSN = "0957-4174",
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DOI = "doi:10.1016/j.eswa.2010.10.070",
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URL = "http://www.sciencedirect.com/science/article/B6V03-51CJ387-K/2/ce5fff4acc0b21a9cd4c1ac3c5afe7df",
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keywords = "genetic algorithms, genetic programming, Rotation
capacity, Beams, Neuro-fuzzy, Modelling",
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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
specialised 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.",
- }
Genetic Programming entries for
Abdulkadir Cevik
Citations