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Using linear and nonlinear decompositions in state-space for calculating minimal dimension embedding of chaotic attractor.
Alexander M. Krot
Helena B. Minervina
Published in:
EUSIPCO (2000)
Keyphrases
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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