کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4577926 | 1630038 | 2010 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory Multi-step-ahead model error prediction using time-delay neural networks combined with chaos theory](/preview/png/4577926.png)
چکیده انگلیسی
SummaryThis paper presents a time series prediction scheme using time-delay neural networks combined with chaos theory. To achieve reliable multi-step-ahead prediction, the optimal architecture of networks is determined by average mutual information and false nearest neighbors analyses in chaos theory. The networks are applied to predict the model errors at four measurement stations in the Singapore Regional Model domain, with five prediction horizons ranging from 2 h to 96 h. It is found that the combined scheme significantly improves the accuracy of tidal prediction, with more than 70% of the root mean square errors removed for 2 h tidal forecast and more than 50% for 96 h tidal forecast.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Hydrology - Volume 395, Issues 1–2, 6 December 2010, Pages 109–116
Journal: Journal of Hydrology - Volume 395, Issues 1–2, 6 December 2010, Pages 109–116
نویسندگان
Yabin Sun, Vladan Babovic, Eng Soon Chan,