MATLAB: Neural network predicting impossible values

narxneural networksnormalizationoutput boundaries

Hi.
I have created a NARX neural network that attempts to predict 96 values per day (daily values with a 15 minute-time resolution) -> The training target is a 1096×96 matrix (3 years) and the testing target is a 365×96 matrix (1 year).
I have normalized the data to [-1, 1] using mapminmax.apply(y,settings). settings was defined using the minimum and maximum possible raw values [0, 1500].
After training and optimizing so far, the network predicts normalized values below -1 and above 1, which it shouldn't.
Is there a way I can set boundaries for the output values? So far, I have had to interpolate the affected values, which is tedious and can mess up the results.
Thanks for any help!
– Marc

Best Answer

If you must have normalized outputs in the range [-1,1],
Replace the default output transfer function of PURELIN with TANSIG.
Thank you for formally accepting my answer
Greg
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