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

Stock index forecasting is a hot issue in the financial arena. As the movements of stock indices are non-linear and subject to many internal and external factors, they pose a great challenge to researchers who try to predict them. In this paper, we select a radial basis function neural network (RBFN...

Full description

Bibliographic Details

Published in:	Knowledge-based systems Vol. 24; no. 3; pp. 378 - 385
Main Authors:	Shen, Wei, Guo, Xiaopen, Wu, Chao, Wu, Desheng
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2011
Subjects:	Artificial fish swarm algorithm Data mining K-means clustering algorithm Radial basis function neural network Shanghai Stock Exchange Index K-means clustering algorithm Shanghai Stock Exchange Index Artificial fish swarm algorithm Data mining Radial basis function neural network
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!