How to train data with NARX model in MATLAB
1 view (last 30 days)
Show older comments
I have sets of 20 years' rainfall and water level data, and I would like to do the prediction using NARX model, I know it needs to train the rainfall data first, but how exactly do I need to train the data? Should I separate it into 10 years each, one set of data used to train, and another set of data used to test the performance? and how can I test it?
and also how to determine the training, validation, testing percentage?
and I wonder whether I have done the prediction correctly, below are my steps in MATLAB:
Open nnstart -> enter NARX model -> define the parameters needed (no. of hidden Neuron and delays)-> train the 1st 10 years --> recorded down the parameters which is closest to water level (least error) --> run the NARX model again with the next 10 years, with the recorded parameters -->result
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!