کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1703952 | 1012395 | 2013 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Integration modified wavelet neural networks for solving thin plate bending problem
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
In this paper, a modified wavelet neural network (MWNN), which is trained by chaos particle swarm optimization and whose activation function is fourth-order scaling function of spline wavelet, is first proposed for solving thin plate bending problem. The highest derivatives of variables in the governing equations are represented by the outputs of MWNN. The variables and the other derivatives are obtained by integrated outputs of MWNN. During the integration process, multiple boundary conditions can be implemented straightforward. It has been verified that the MWNN method can successfully solve various thin plate bending problems and it is convergent based on different distributions of scattered points.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Mathematical Modelling - Volume 37, Issue 5, 1 March 2013, Pages 2983–2994
Journal: Applied Mathematical Modelling - Volume 37, Issue 5, 1 March 2013, Pages 2983–2994
نویسندگان
Xuejuan Li, Jie Ouyang, Tao Jiang, Binxin Yang,