Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets

This publication has 16 references indexed in Scilit:

• LSTM recurrent networks learn simple context-free and context-sensitive languages
  IEEE Transactions on Neural Networks, 2001
• Context-free and context-sensitive dynamics in recurrent neural networks
  Connection Science, 2000
• Learning to Forget: Continual Prediction with LSTM
  Neural Computation, 2000
• A Recurrent Neural Network that Learns to Count
  Connection Science, 1999
• Long Short-Term Memory
  Neural Computation, 1997
• A Fixed Size Storage O(n³) Time Complexity Learning Algorithm for Fully Recurrent Continually Running Networks
  Neural Computation, 1992
• A recurrent error propagation network speech recognition system
  Computer Speech & Language, 1991
• An Efficient Gradient-Based Algorithm for On-Line Training of Recurrent Network Trajectories
  Neural Computation, 1990
• A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
  Neural Computation, 1989
• A Local Learning Algorithm for Dynamic Feedforward and Recurrent Networks
  Connection Science, 1989