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

Intelligent Data Analysis

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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
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-60494
record_format	dspace
spelling	sg-nus-scholar.10635-604942015-02-09T04:09:00Z Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map Tay, F.E.H. Cao, L.J. MECHANICAL ENGINEERING financial time series forecasting non-stationarity self-organizing feature map support vector machines Intelligent Data Analysis 5 4 339-354 2014-06-17T06:23:53Z 2014-06-17T06:23:53Z 2001 Article Tay, F.E.H.,Cao, L.J. (2001). Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map. Intelligent Data Analysis 5 (4) : 339-354. ScholarBank@NUS Repository. 1088467X http://scholarbank.nus.edu.sg/handle/10635/60494 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
topic	financial time series forecasting non-stationarity self-organizing feature map support vector machines
spellingShingle	financial time series forecasting non-stationarity self-organizing feature map support vector machines Tay, F.E.H. Cao, L.J. Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
description	Intelligent Data Analysis
author2	MECHANICAL ENGINEERING
author_facet	MECHANICAL ENGINEERING Tay, F.E.H. Cao, L.J.
format	Article
author	Tay, F.E.H. Cao, L.J.
author_sort	Tay, F.E.H.
title	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
title_short	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
title_full	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
title_fullStr	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
title_full_unstemmed	Improved financial time series forecasting by combining Support Vector Machines with self-organizing feature map
title_sort	improved financial time series forecasting by combining support vector machines with self-organizing feature map
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/60494
_version_	1681085422767177728

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

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