How to conduct a sensitivity analysis in neural network model with Nominal Data
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Hello world,
I have built a neural network for pattern recognition (patternnet) and i would like to conduct a sensitivity analysis, however, the main problem is that I have only Nominal Data as input and that makes the noise addition procedure kind of mistaken. Any ideas?
Best regards,
Andreas Kampianakis
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Accepted Answer
Greg Heath
on 5 May 2016
Your net is probably so dumb that it doesn't know the inputs are supposed to be nominal (I assume you mean 1s and 0s).
So, plotting performance vs magnitude of added Gaussian noise should be useful.
Hope this helps.
Greg
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Greg Heath
on 8 May 2016
You said you already have nominal inputs. Just add the noise and plot your error vs either noise level or Signal-to-Noise-Ratio.
Greg
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