A Neural Network Algorithm with Weight Decay for 2-6 Hour Ahead Wind Speed Forecasting
نویسنده
چکیده
A single layer feed forward neural network algorithm using back propagation, gradient descent and weight decay is proposed for the purpose of wind speed forecasting using only the observed hourly wind speeds, directions, temperatures and pressures observed at at a single site. The site data used for this experiment was 10 years worth of hourly ASOS data from the Bismarck North Dakota Regional Airport gathered from the NOAA ftp site which is available for users upon subscription. The experiment was coded in the R programming language using the package implementation nnet which implements a single layer feed forward neural network with an optional weight decay factor.
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