Electron/Pion Identification with ALICE TRD Prototypes using a Neural   Network Algorithm
  We study the electron/pion identification performance of the ALICE Transition Radiation Detector (TRD) prototypes using a neural network (NN) algorithm. Measurements were carried out for particle momenta from 2 to 6 GeV/c. An improvement in pion rejection by about a factor of 3 is obtained with NN compared to standard likelihood methods. 
ALICE TRD Collaboration