Forecasting using GRNN (Generalized Regression Neural Network)?

Does Anyone know? I have a problem when using GRNN (Generalized Regression Neural Network). I use this neural network for forecasting of energy consumption. I have data about energy consumption from 1990-2015. The trend is going up. The most recent year is, the highest score is,. The pattern is 1 output and 3 input. when I predict for 2016, 2017, 2018, the value should always go up from before. But the all 3 latest year have same value of energy consumption with 2015. Can anyone solve this problem?

Answer 1

[Greg Heath]

Yes,

1. Normalize input and output data to [-1,1].
2. Minimize the order for a sufficient polynomial fit.
3. Minimize the number of hidden nodes for a sufficient NN fit to the resulting residual.

Hope this helps,

Thank you for formally accepting my answer

Greg

[Ulin Nuhaq]

how to do number 2 and 3