Pacelli, Vincenzo and Bevilacqua, Vitoantonio and Azzollini, Michele (2011) An Artificial Neural Network Model to Forecast Exchange Rates. Journal of Intelligent Learning Systems and Applications, 03 (02). pp. 57-69. ISSN 2150-8402
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Abstract
For the purposes of this research, the optimal MLP neural network topology has been designed and tested by means the specific genetic algorithm multi-objective Pareto-Based. The objective of the research is to predict the trend of the ex-change rate Euro/USD up to three days ahead of last data available. The variable of output of the ANN designed is then the daily exchange rate Euro/Dollar and the frequency of data collection of variables of input and the output is daily. By the analysis of the data it is possible to conclude that the ANN model developed can largely predict the trend to three days of exchange rate Euro/USD.
Item Type: | Article |
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Subjects: | STM Digital > Engineering |
Depositing User: | Unnamed user with email support@stmdigital.org |
Date Deposited: | 03 Feb 2023 10:38 |
Last Modified: | 01 Jul 2024 13:34 |
URI: | http://research.asianarticleeprint.com/id/eprint/115 |