Chaotic analysis of seismic time series and short term forecasting using neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 3, Issue , 2001, Pages 1598-1602

  Plagianakos, V P ^a   Tzanaki, E ^a  

^a UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CHAOS THEORY; FORECASTING; MATHEMATICAL MODELS; SEISMOLOGY; TIME SERIES ANALYSIS;

CHAOTIC ANALYSIS; TIME SERIES FORECASTING;

NEURAL NETWORKS;

EID: 0034870432     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Characterization of strange attractors
2. Practical implementation of nonlinear time series methods: The TISEAN package
3. A robust method to estimate the maximal Lyapunov exponent of a time series
4. A comparison between neural networks and chaotic models for exchange rate and predictions
5. Hybrid methods using evolutionary algorithms for on-line training
6. Chaotic analysis of a time series of seismeic events recorded in Japan
7. Extremely simple nonlinear noise reduction method
8. Detecting strange attractors in turbulence