daily streamflow forecasting using artificial neural networks

MODELING BRAIN WAVE DATA BY USING ARTIFICIAL NEURAL

the RBF non-linearity and a linear output layer. The most popular choice for the nonlinearity is the Gaussian. RBF networks have the advantage of not being locked into local minima as do feed-forwa...

orta dönem yük tahmi̇ni̇ anali̇zi̇nde ysa yaklaşimlari

FORECASTING DAILY AND SESSIONAL RETURNS OF THE ISE

model are given in Table 4. The best results were obtained in 4. trial with a determination coefficient (R2) of 0.759 and in 5. trial with mean square error (MSE) and average absolute error (AARE) ...

Sensitization Prevalence of Children with Allergic Rhinitis to

handbook of neural engineering

a new ann training approach for efficiency evaluation

Stochastic streamflow models are commonly used in hydrology. Recently, artifical neural network (ANN) models are also employed to water resources and hydrology problems [Gavin et. al., 2005]. A num...

The levels of indicator bacteria transported to the Black Sea by the

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