The CHORUS calorimeter is a large scale application of the lead-scintillating fibre calorimetry technique for high energy physics experiments. It uses 1450 km of fibres for a total calorimeter weight of 110 tons. We report here about the time stability of the scintillating fibres performances over five years of data taking in the CERN-WANF neutrino beam. The identification capability of particles produced in neutrino interactions is discussed. The identification algorithm is based on a neural network approach
