The neural network first level trigger for the DIRAC experiment at CERN is
presented. Both the neural network algorithm used and its actual hardware i
mplementation are described. The system uses the fast plastic scintillator
information of the DIRAC spectrometer. In 210 ns it selects events with two
particles having low relative momentum; such events are selected with an e
fficiency of more than 0.94. The corresponding rate reduction for backgroun
d events is a factor of 2.5. (C) 2001 Elsevier Science B.V. All rights rese
rved.