  An artificial neural network for extracting reasonable and fast estimates of
hyperfine parameters from M\"ossbauer spectra in the energy or time domain is
outlined. First promising results for determining the asymmetry of the electric
field gradient at the nucleus of a diamagnetic iron center as derived with
different types of neural networks are reported.
