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.
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sg-ntu-dr.10356-44572023-07-04T15:19:06Z Financial time series prediction using gap networks Aung Myuu Latt Saratchandran, Paramasivan School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems 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. Master of Science (Computer Control and Automation) 2008-09-17T09:51:54Z 2008-09-17T09:51:54Z 2004 2004 Thesis http://hdl.handle.net/10356/4457 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Aung Myuu Latt Financial time series prediction using gap networks |
description |
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. |
author2 |
Saratchandran, Paramasivan |
author_facet |
Saratchandran, Paramasivan Aung Myuu Latt |
format |
Theses and Dissertations |
author |
Aung Myuu Latt |
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Aung Myuu Latt |
title |
Financial time series prediction using gap networks |
title_short |
Financial time series prediction using gap networks |
title_full |
Financial time series prediction using gap networks |
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Financial time series prediction using gap networks |
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Financial time series prediction using gap networks |
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financial time series prediction using gap networks |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4457 |
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1772827831967940608 |