The paper presents the capability of a Liquid Argon TPC to distinguish between electrons and \pi 0's and also between proton, kaon and pion. Neutral pions are very dangerous background in the study of neutrino oscillations while hadronic identification is important to look for proton decay. The analysis was based on the data from Monte Carlo simulation and was achieved by means of Neural Networks. Two methods of analysis focus on the particle energy loss by ionization. One concerns electrons inside electromagnetic cascades, the other one decaying hadrons.
PACS numbers: 14.60.Pq, 12.10.Dm, 07.05.Mh, 29.40.Gx
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