Prediction of financial time series with recurrent LoLiMot (Locally Linear Model Tree)

2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010

Volumn 2, Issue , 2010, Pages 592-596

  Chegini, Hossein ^a   Lucas, Caro ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Forecasting; Locally linear model tree; Neuro fuzzy; Prediction; Recurrent networks; Time series

Indexed keywords

CONSTRUCTION OPTIMIZATION; DOW JONES; DYNAMIC PROCESS; FINANCIAL TIME SERIES; GLOBAL STATE; HUMAN RESOURCES; LINEAR MODEL; LOCALLY LINEAR MODEL TREES; NEURO-FUZZY; NEURO-FUZZY MODEL; NEURO-FUZZY NETWORK; PREDICTION; RECURRENT NETWORKS; SUB-SYSTEMS;

FEEDBACK; FINANCIAL DATA PROCESSING; INSURANCE; MATHEMATICAL MODELS; STATE FEEDBACK; TIME SERIES;

FORECASTING;

EID: 77952596137     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAE.2010.5451678     Document Type: Conference Paper

References (6)

1. O. Nelles, Nonlinear system identification, Springer Verlag, Berlin, 2001
2. Haykin S (1994) Neural networks: a comprehensive foundation. Macmillan, New York
3. Extracting the main patterns of natural time series for long-term neurofuzzy prediction
4. Introducing an Incremental Learning Method for Neuro-fuzzy Models with the Application to Forecast Natural Chaotic Dynamics
5. Long Term Prediction of Chaotic Time Series with the Aid of Neuro Fuzzy Models, Spectral Analysis and Correlation Analysis
6. Locally linear neurofuzzy modeling and prediction of geomagnetic disturbances based on solar wind conditions