Parametrizing Compton form factors with neural networks
  We describe a method, based on neural networks, of revealing Compton form factors in the deeply virtual region. We compare this approach to standard least-squares model fitting both for a simplified toy case and for HERMES data. 
Kresimir Kumericki, Dieter Mueller, Andreas Schafer
hep-ph physics.data-an