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

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

Internet

http://scholarbank.nus.edu.sg/handle/10635/60494

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