Neural Networks for Regression Problems
For example, NNAR(4,3) model shown above, is a neural network with the last four observations (y t-1 , y t-2 , y t-3 , y t-4 ) as inputs for forecasting the output y t , and with three neurons in the hidden layer. ................
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