I used nnet package in R to train the neural network and make prediction. At first, because the data were large, i used the formula (x-xmin)/(xmax-xmin) to standardize them in range of 0 to 1. After training the network, i predicted the output values. The result is a range of data in range of 0 and 1.
How can i un-standardize or convert the predictive values to the first scale?
in this area, even i used " caret" package and the codes as below:
fit
Jochen Wilhelm
The variable you want to predict is x. However, in the network you use
x' = (x-xmin) / (xmax-xmin).
You can calculate x from x' by solving the formula above for x:
x = x' * (xmax-xmin) + xmin
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