The neural network approach to parton distributions
arXiv:hep-ph/0509059
Abstract
We introduce the neural network approach to global fits of parton distrubution functions. First we review previous work on unbiased parametrizations of deep-inelastic structure functions with faithful estimation of their uncertainties, and then we summarize the current status of neural network parton distribution fits.
To appear in Proceedings of the HERA-LHC workshop 2005, 4 pages, 2 figures, plot updated