Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map

Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map

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Bibliographic Details
Main Authors:	Tay, F.E.H., Cao, L.J.
Other Authors:	MECHANICAL ENGINEERING
Format:	Article
Published:	2014
Subjects:	financial time series forecasting non-stationarity self-organizing feature map support vector machines
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/60494
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

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