Neural network ensemble model using PPR and LS-SVR for stock market forecasting

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6838 LNCS, Issue , 2011, Pages 1-8

  Wang, Lingzhi ^a   Wu, Jiansheng ^a  

^a Liuzhou Teachers College ^*  (China)

Author keywords

Least Squares Support Vector Regression; Neural Network; Projection Pursuit Regression; Stock Market Forecasting

Indexed keywords

DATA SETS; ECONOMIC FACTORS; ENSEMBLE MODELS; FINANCIAL FORECASTING; INPUT FEATURES; LEAST SQUARES SUPPORT VECTOR REGRESSION; NEURAL NETWORK ENSEMBLES; NOVEL NEURAL NETWORK; PARTIAL LEAST SQUARES; PROJECTION PURSUIT REGRESSION; STOCK EXCHANGE; STOCK MARKET FORECASTING; TRAINING SETS;

COMMERCE; FINANCE; FORECASTING; INTELLIGENT COMPUTING; REGRESSION ANALYSIS;

NEURAL NETWORKS;

EID: 84863127407     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24728-6_1     Document Type: Conference Paper

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