Hi there, I am working with the neural network toolbox in matlab. My problem is not with the toolbox but with the data preparation before it is used and my resulting output. I standardise the input and targte output on which I train the network but this means that my estimated output, when I simulate the network on a new set of values has also a zero-mean, unit-vairance. I do not want this because while the estimated output correctly follows the trend and amplitude changes of my target output I want the physical values not these standardised values. Is there a way to 'de-standardise' my output i.e. add on the mean and multiply by the standard deviation. The mean of my time series is not constant so I am sure this is not as straightforward as I have said.
Thank you for any help
Sarah
Best Answer