Neural networks trained with WiFi traces to predict airport passenger behavior

30 Oct 2019Federico OrsiniMassimiliano GastaldiLuca MantecchiniRiccardo Rossi

The use of neural networks to predict airport passenger activity choices inside the terminal is presented in this paper. Three network architectures are proposed: Feedforward Neural Networks (FNN), Long Short-Term Memory (LSTM) networks, and a combination of the two... (read more)

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