کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10370823 | 876520 | 2011 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Fuzzy neural networks for water level and discharge forecasting with uncertainty
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
نرم افزار
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
The application of the model to two specific cases and a comparison of the results with those provided by other data-driven models - Bayesian neural networks (Neal, 1992) and the Local Uncertainty Estimation Model (Shrestha and Solomatine, 2006) - show its effectiveness in estimating water levels or discharges under uncertainty. The fuzzy neural network enables us to define bands that are expected to contain given percentages of forecasted level/discharge values for each lead time selected; an analysis of the results obtained reveals that these bands (e.g., 99%, 95% and 90% uncertainty bands) generally have a slightly smaller width compared to the bands obtained using other data-driven models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environmental Modelling & Software - Volume 26, Issue 4, April 2011, Pages 523-537
Journal: Environmental Modelling & Software - Volume 26, Issue 4, April 2011, Pages 523-537
نویسندگان
Stefano Alvisi, Marco Franchini,