Learning to generate combinatorial action sequences utilizing the initial sensitivity of deterministic dynamical systems

Neural Networks

Volumn 17, Issue 7, 2004, Pages 925-933

  Nishimoto, Ryu ^a   Tani, Jun ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Actions; Deterministic chaos; Initial sensitivity; Learning

Indexed keywords

INVARIANCE; MAPPING; NEURAL NETWORKS; PHASE SEQUENCE INDICATORS; SENSORY PERCEPTION;

ACTION SEQUENCE; FINITE STATE MACHINES (FSM); MIMICKING;

LEARNING SYSTEMS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COMBINATORIAL CHEMISTRY; DYNAMICS; FRACTAL ANALYSIS; LEARNING; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

COMPUTER SIMULATION; HUMANS; LEARNING; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; SYSTEMS ANALYSIS; SYSTEMS THEORY;

EID: 4143149605     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2004.02.003     Document Type: Article

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