کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8062269 1520630 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Online prediction of ship roll motion based on a coarse and fine tuning fixed grid wavelet network
ترجمه فارسی عنوان
پیش بینی آنلاین از حرکت رول کشتی بر اساس یک شبکه موجک شبکه ثابت و دقیق تنظیم شده است
کلمات کلیدی
حرکت رول کشتی، پیش بینی آنلاین، شبکه موجک، تنظیم دقیق و ریز، پنجره اطلاعات کشویی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی دریا (اقیانوس)
چکیده انگلیسی
A new coarse and fine tuning fixed grid wavelet network is proposed for online predicting ship roll motion in regular waves. This wavelet network is composed of discrete wavelet basis functions, whose structure and parameters are adjusted online based on a sliding data window. Coarse tuning refers to changing the structure of the wavelet network, and fine tuning refers to only changing the coefficients of the wavelet network. In every sliding data window, the Givens rotation method is first used to finely tune the wavelet network, then the orthogonal least squares algorithm and the error reduction ratio criterion will be used to coarsely tune the wavelet network if the fine tuning network does not satisfy the relevant conditions for model validation. This process guarantees that the method can establish not only the model of the weakly nonlinear motion but also the model of the strongly nonlinear motion. In this way, a concise prediction model of ship roll motion is obtained. This network exploits the attractive features of wavelet and the fitting capability of conventional neural network. The prediction results show that the modeling method is feasible, and it provides an effective tool for online predicting ship roll motion.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 160, 15 July 2018, Pages 425-437
نویسندگان
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