IDENTIFICATION AND PREDICTION OF NONLINEAR HYDROLOGIC SYSTEM (HOURLY UNIT DATA)
نویسندگان
چکیده
منابع مشابه
Data for benchmarking in nonlinear system identification
System identification is a fundamentally experimental field of science in that it deals with modeling of system dynamics using measured data. Despite this fact many algorithms and theoretical results are only tested with simulations at the time of publication. One reason for this may be a lack of easily available live data. This paper therefore presents three sets of data, suitable for developm...
متن کاملexistence and approximate $l^{p}$ and continuous solution of nonlinear integral equations of the hammerstein and volterra types
بسیاری از پدیده ها در جهان ما اساساً غیرخطی هستند، و توسط معادلات غیرخطی بیان شده اند. از آنجا که ظهور کامپیوترهای رقمی با عملکرد بالا، حل مسایل خطی را آسان تر می کند. با این حال، به طور کلی به دست آوردن جوابهای دقیق از مسایل غیرخطی دشوار است. روش عددی، به طور کلی محاسبه پیچیده مسایل غیرخطی را اداره می کند. با این حال، دادن نقاط به یک منحنی و به دست آوردن منحنی کامل که اغلب پرهزینه و ...
15 صفحه اولHourly Global Radiation Prediction from Geostationary Satellite Data
The possibility to generate 2-D predictions of solar radiation one hour ahead and over a large geographic area is the focus of this study. In that view, hourly satellite maps of irradiations extracted from the Heliosat-3 have been used as training data and inputs of artificial neural networks (ANN) and as inputs for apersistence model. These models were computed for each point of the map, allow...
متن کاملHydrologic Classification System: A Data Reconstruction Approach
Recent technological advances, such as powerful computers, remote sensors, geographic information systems and worldwide networking facilities, have brought hydrologic research to a whole new level. They have facilitated extensive data collection, better data sharing, formulation of sophisticated methods, and development of complex models to mimic real hydrologic systems. Despite these obvious a...
متن کاملHourly Traffic Prediction of News Stories
The process of predicting news stories popularity from several news sources has become a challenge of great importance for both news producers and readers. In this paper, we investigate methods for automatically predicting the number of clicks on a news story during one hour. Our approach is a combination of additive regression and bagging applied over a M5P regression tree using a logarithmic ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Japan Society of Civil Engineers
سال: 1982
ISSN: 1884-4936,0385-5392
DOI: 10.2208/jscej1969.1982.324_83