On efficient multistep non-linear time series prediction in chaotic diode resonator circuits by optimizing the combination of non-linear time series analysis and neural networks

Engineering Applications of Artificial Intelligence

Volumn 22, Issue 1, 2009, Pages 32-39

  Hanias, M P ^a   Karras, D A ^a  

^a Chalkis Institute of Technology   (Greece)

Author keywords

Chaos; Correlation dimension; Diode resonator circuit; Lyapunov exponents; MLP neural networks; Non linear signal analysis; Time series prediction

Indexed keywords

BACKPROPAGATION; DIFFERENTIAL EQUATIONS; DIODES; FORECASTING; LYAPUNOV METHODS; MULTILAYER NEURAL NETWORKS; NETWORKS (CIRCUITS); RESONATORS; SIGNAL ANALYSIS; SIGNAL PROCESSING; TELECOMMUNICATION NETWORKS; TIME SERIES ANALYSIS;

CHAOS; CORRELATION DIMENSION; DIODE RESONATOR CIRCUIT; LYAPUNOV EXPONENTS; MLP NEURAL NETWORKS; NON-LINEAR SIGNAL ANALYSIS; TIME SERIES PREDICTION;

NEURAL NETWORKS;

EID: 58249086402     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2008.04.016     Document Type: Article

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