کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
509745 865705 2013 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A material description based on recurrent neural networks for fuzzy data and its application within the finite element method
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
A material description based on recurrent neural networks for fuzzy data and its application within the finite element method
چکیده انگلیسی

A new soft computing approach is presented for structural analysis. Instead of material models, an artificial neural network concept is applied to describe time-dependent material behaviour within the finite element method. In order to consider imprecise data for the identification of dependencies between strain and stress processes from uncertain results of experimental investigations, recurrent neural networks for fuzzy data are used. An algorithm for the signal computation of recurrent neural networks is developed utilizing an α-level optimization. The approach is verified by a model based solution. Application capabilities are demonstrated by means of numerical examples.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Structures - Volume 124, August 2013, Pages 29–37
نویسندگان
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