  A feedforward multilayered neural network has been trained to "recognize"
true V0's in the presence of a large combinatoric background using simulated
data for 2 GeV/nucleon Ni + Cu interactions. The resulting neural network
filter has been applied to actual data from the EOS TPC experiment. An
enhancement of signal to background over more traditional selection mechanisms
has been observed.
