Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm

Knowledge-Based Systems

Volumn 24, Issue 3, 2011, Pages 378-385

  Shen, Wei ^a   Guo, Xiaopen ^a   Wu, Chao ^b   Wu, Desheng ^c,d  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

^b UNIVERSITY OF WATERLOO   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d REYKJAVIK UNIVERSITY   (Iceland)

Author keywords

Artificial fish swarm algorithm; Data mining; K means clustering algorithm; Radial basis function neural network; Shanghai Stock Exchange Index

Indexed keywords

ARTIFICIAL FISH SWARM ALGORITHMS; INTERNAL AND EXTERNAL FACTORS; K-MEANS CLUSTERING ALGORITHM; LEARNING PROCESS; NON-LINEAR; RADIAL BASIS FUNCTION NEURAL NETWORK; RADIAL BASIS FUNCTION NEURAL NETWORKS; SHANGHAI STOCK EXCHANGE INDEX; STOCK EXCHANGE; STOCK INDEX FORECASTING; STOCK INDICES;

DATA MINING; FISH; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS;

CLUSTERING ALGORITHMS;

EID: 79551685695     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2010.11.001     Document Type: Article

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