کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6954048 1451825 2018 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Wavelet support vector machine-based prediction model of dam deformation
ترجمه فارسی عنوان
مدل پیش بینی بر مبنای مدل ویولت بر اساس مدل تغییر شکل سد
کلمات کلیدی
تغییر شکل سد، شناسایی مشخصات، مدل پیش بینی، دستگاه بردار پشتیبانی از موجک، الگوریتم بهینه سازی ذرات بهبود یافته،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
Considering the strong nonlinear dynamic characteristics of dam deformation, the prediction model of dam deformation is investigated. Support vector machine (SVM) is combined with other methods, such as phase space reconstruction, wavelet analysis and particle swarm optimization (PSO), to build the prediction model of dam deformation. Firstly, the chaotic characteristics and the predictable time scale of dam deformation are identified by implementing the phase space reconstruction of observation data series on dam deformation. Secondly, a SVM-based prediction model of dam deformation is proposed. The reconstructed phase space of observed deformation and the Morlet wavelet basis function are selected as the input vector and the kernel function of SVM. Thirdly, the PSO algorithm is improved to implement the parameter optimization of SVM-based prediction model of dam deformation. Finally, the displacement of one actual dam is taken as an example. The results demonstrate the modeling efficiency and forecasting accuracy can be improved.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 110, 15 September 2018, Pages 412-427
نویسندگان
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