I have a set of inputs for training a neural net. On these inputs i added white gaussian noise for a certain Signal to noise ratio.
Then i train the network. The outputs for each SNR individual are good but now i have 3 different neural networks for 3 snr ratios.
I was training for -5db 0db and 5db SNR.
I want one network which is working correct for all SNR values.
I was thinking of combining the training inputs with noise for all SNR ratios but the results are very bad.
How is this normally done? Or is it also possible that it is not working for my application?
Maybe i can merge different trained neural nets to one? But then i get a really big neural net i think.
thanks in advance