Using linear and nonlinear decompositions in state-space for calculating minimal dimension embedding of chaotic attractor.
Alexander M. KrotHelena B. MinervinaPublished in: EUSIPCO (2000)
Keyphrases
- state space
- dynamical systems
- cellular automata
- phase space
- lyapunov exponents
- reinforcement learning
- heuristic search
- optimal policy
- markov decision processes
- chaotic neural network
- fixed point
- chaotic dynamics
- dynamic programming
- state variables
- initial conditions
- nonlinear dynamics
- reinforcement learning algorithms
- vector space
- dynamic systems
- decomposition methods
- planning problems
- belief state
- data hiding
- action space
- hopfield neural network
- relational databases
- data embedding
- continuous state spaces
- singular value decomposition
- chaos theory
- face recognition