Financial time series prediction using gap networks

Financial time series prediction using gap networks

This project aims to predict future values of the currency exchange rates based on its past values using Growing and Pruning network. The results were evaluated in terms of direction accuracy and testing accuracy.

Bibliografski detalji
Glavni autor: Aung Myuu Latt
Daljnji autori: Saratchandran, Paramasivan
Format: Disertacija
Izdano: 2008
Teme:
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online pristup:http://hdl.handle.net/10356/4457

Internet

http://hdl.handle.net/10356/4457

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