River Flow Forecasting using artificial neural network (Shoor Ghaen)
نویسندگان
چکیده
منابع مشابه
River Flow Forecasting Using Artificial Neural Networks
River flow forecasting is required to provide basic information on a wide range of problems related to the design and operation of river systems. The availability of extended records of rainfall and other climatic data, which could be used to obtain stream flow data, initiated the practice of rainfall-runoff modelling. While conceptual or physically-based models are of importance in the underst...
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Forecasting a hydrologic time series has been one of the most complicated tasks owing to the wide range of data, the uncertainties in the parameters influencing the time series and also due to the non availability of adequate data. Recently, Artificial Neural Networks (ANNs) have become quite popular in time series forecasting in various fields. This paper demonstrates the use of ANNs to foreca...
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Daily Runoff Forecasting using Artificial Neural Network
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Weather forecasting has become an important field of research in the last few decades. In most of the cases the researcher had attempted to establish a linear relationship between the input weather data and the corresponding target data. But with the discovery of nonlinearity in the nature of weather data, the focus has shifted towards the nonlinear prediction of the weather data. Although, the...
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ژورنال
عنوان ژورنال: Ciência e Natura
سال: 2015
ISSN: 2179-460X,0100-8307
DOI: 10.5902/2179460x20849