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...

Celý popis

Podrobná bibliografia

Vydané v:	Knowledge-based systems Ročník 24; číslo 3; s. 378 - 385
Hlavní autori:	Shen, Wei, Guo, Xiaopen, Wu, Chao, Wu, Desheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.04.2011
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!