this paper we present a method for the identification of ppbremsstrahlung based upon a self-organizing network (SO network) according to the Kohonen algorithm  with its feature of unsupervized learning directly using model-independent experimental data. The SO network application was tested with data of a pp- and pA-scattering experiment (T beam =1 GeV) at SATURNE . 2 Cluster-gravitation for the identification of pp-bremsstrahlung at COSY 2. The Kohonen Ma
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.