SFFS-PC-NN optimized by genetic algorithm for dynamic prediction of financial distress with longitudinal data streams

Knowledge-Based Systems

Volumn 24, Issue 7, 2011, Pages 1013-1023

  Sun, Jie ^a   He, Kai Yu ^a   Li, Hui ^a,b  

^a ZHEJIANG NORMAL UNIVERSITY   (China)

^b Ohio State University   (United States)

Author keywords

Back propagation neural network; Dynamic prediction of financial distress; Genetic algorithm; Longitudinal data streams; Principal component discrimination; Sequential floating forward selection

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; DYNAMIC PREDICTION; FORWARD SELECTION; LONGITUDINAL DATA STREAMS; PRINCIPAL COMPONENTS;

BACKPROPAGATION ALGORITHMS; DATA COMMUNICATION SYSTEMS; DATA FLOW ANALYSIS; DYNAMIC MODELS; FORECASTING; GENETIC ALGORITHMS; INDUSTRY; NEURAL NETWORKS; OPTIMIZATION; PRINCIPAL COMPONENT ANALYSIS; TORSIONAL STRESS;

FINANCE;

EID: 79959691878     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2011.04.013     Document Type: Article

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