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Feed forward neural networks have been trained, using back‐propagation, to find the slopes of simulated track segments in a straw chamber and to find the vertex of tracks from both simulated and real events in a more conventional drift chamber geometry. Network architectures, training, and performance are presented.

Tests of track segment and vertex finding with neural networks