- Normalize input and output data to [-1,1].
- Minimize the order for a sufficient polynomial fit.
- Minimize the number of hidden nodes for a sufficient NN fit to the resulting residual.
Forecasting using GRNN (Generalized Regression Neural Network)?
3 次查看(过去 30 天)
显示 更早的评论
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?
0 个评论
回答(1 个)
Greg Heath
2020-7-9
Yes,
Hope this helps,
Thank you for formally accepting my answer
Greg
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!