Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks.
Masahiro KimuraRyohei NakanoPublished in: ICNN (1995)
Keyphrases
- dynamical systems
- recurrent neural networks
- predictive state representations
- phase space
- cascade correlation
- connectionist networks
- partially observable
- recurrent networks
- reinforcement learning
- learning tasks
- differential equations
- learning algorithm
- reservoir computing
- nonlinear dynamical systems
- control theory
- supervised learning
- neural network
- latent variable models
- adaptive control
- feed forward
- markov chain
- state space