Financial time series prediction using gap networks
Aung Myuu Latt
Date of Issue2004
School of Electrical and Electronic Engineering
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.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Nanyang Technological University