The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Abstract: This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected automated vehicles (CAVs) in ...