Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms

Information Sciences

Volumn 305, Issue , 2015, Pages 77-92

  Xiong, Tao ^a   Bao, Yukun ^b   Hu, Zhongyi ^b   Chiong, Raymond ^c  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c UNIVERSITY OF NEWCASTLE   (Australia)

Author keywords

Complex valued neural network; Interval time series; Particle swarm optimization; Radial basis function

Indexed keywords

COMPLEX NETWORKS; ELECTRONIC TRADING; FINANCIAL MARKETS; FORECASTING; FUNCTIONS; RADIAL BASIS FUNCTION NETWORKS; STRUCTURAL OPTIMIZATION; TIME SERIES;

COMPLEX-VALUED NEURAL NETWORKS; FUNCTION APPROXIMATION; INTERVAL TIME SERIES; LOWER AND UPPER BOUNDS; NEW YORK STOCK EXCHANGE; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; TIME SERIES MODELING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84924421191     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2015.01.029     Document Type: Article

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