Neuro-fuzzy modeling of rotation capacity of wide flange beams

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@Article{Cevik20115650,

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

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