A novel nonlinear combination model based on support vector machine for stock market prediction

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn , Issue , 2010, Pages 5048-5053

  Luo, Fangqiong ^a   Wu, Jiansheng ^a   Yan, Kesong ^a  

^a Liuzhou Teachers College ^*  (China)

Author keywords

Forecasting; Linear regression; Neural network; Support vector machine

Indexed keywords

EMPIRICAL RESULTS; FINANCIAL INSTITUTION; FINANCIAL TIME SERIES FORECASTING; LINEAR CHARACTERISTICS; LINEAR REGRESSION MODELS; NEURAL NETWORK MODEL; NN ALGORITHMS; NON-LINEAR REGRESSION; NONLINEAR CHARACTERISTICS; NONLINEAR COMBINATION; NONLINEAR COMBINATION FORECASTING MODEL; NONLINEAR MODELING; STATISTICAL MODELS; STOCK EXCHANGE; STOCK MARKET; STOCK MARKET FORECASTING; STOCK MARKET PREDICTION; SUPPORT VECTOR MACHINE REGRESSIONS; TIME SERIES FORECASTING;

FINANCE; FINANCIAL DATA PROCESSING; FORECASTING; INTELLIGENT CONTROL; LINEAR REGRESSION; NEURAL NETWORKS; SUPPORT VECTOR MACHINES; TIME SERIES; VECTORS;

COMMERCE;

EID: 77958121234     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2010.5554607     Document Type: Conference Paper

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