1. A method of generating a meta-model for scatterometry analysis of a sample diffracting structure having unknown parameters, the method comprising: rigorously computing a training set comprising both a spectral signal evaluation and a derivative of the signal with respect to at least one parameter across a parameter space; and training a neural network with the training set to provide reference spectral information for a comparison of the reference to spectral information recorded from the sample diffracting structure.