Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.
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Swarm Characteristic Classification using Robust Neural Networks with Optimized Controllable Inputs
Training a CNN on a dataset augmented across defender number, motion, and noise yields more accurate swarm-tactic classification, and optimizing defender trajectories against the trained network can raise its confidence (STP) and reduce the number of defenders needed.