  We present and discuss a new method to extract parton distribution functions
from hard scattering processes based on an alternative type of neural network,
the Self-Organizing Map. Quantitative results including a detailed treatment of
uncertainties are presented within a Next to Leading Order analysis of
inclusive electron proton deep inelastic scattering data.
