In the present report we propose the automation of least square fittin
g of Mossbauer spectra, the identification of the substance, its cryst
al structure and the access to the references with the help of a genet
ic algorithm, Fuzzy logic, and the artificial neural network associate
d with a databank of Mossbauer parameters and references. This system
could be useful for specialists and non-specialists, in industry as we
ll as in research laboratories.