A stock market forecasting model combining two-directional two-dimensional principal component analysis and radial basis function neural network

PLoS ONE

Volumn 10, Issue 4, 2015, Pages

  Guo, Zhiqiang ^a   Wang, Huaiqing ^b   Yang, Jie ^a   Miller, David J ^c  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b SOUTHERN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c The Center for Nanotechnology Education and Utilization   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHINA; CONTROLLED STUDY; DATA PROCESSING; ECONOMIC DEVELOPMENT; FORECASTING; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; PREDICTION; PREDICTOR VARIABLE; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASED FUNCTION; STOCK MARKET; TWO DIRECTIONAL TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS; VALIDITY; ARTIFICIAL NEURAL NETWORK; COMMERCIAL PHENOMENA; ECONOMICS; INVESTMENT; THEORETICAL MODEL;

COMMERCE; INVESTMENTS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PRINCIPAL COMPONENT ANALYSIS;

EID: 84928792601     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0122385     Document Type: Article

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