Prediction exchange rate of USD/GBP with intelligence cyberspace experimental

Author

Nayakovit, Suttisak ; Khantanapoka, Khammapun ; Jaritngam, Usa

Author_Institution

Dept. of Comput. Sci., Chandrakasem Rajabhat Univ., Bangkok, Thailand

Volume

2

fYear

2010

fDate

1-3 Aug. 2010

Abstract

From the current economic climate results in fluctuations of currency exchange rates in all countries. Since the most countries use U.S. Dollar as the reference exchange rate. The exchange rate will change from time to time so variety of factors which affect the exchange rate forecasting in the exchange rates in advance are critical to evaluate for the impact of the economic system of each country. The experimental forecast exchange rates for currency´s U.S. Dollar with Great Britain Pounds by using Artificial Neural Networks (ANN) and Meiosis Genetic Algorithms (MGA) with results which are accurate in prediction than other methods about 25-40% which it depend on the accuracy of the information in the past.

Keywords

artificial intelligence; competitive intelligence; exchange rates; genetic algorithms; neural nets; ANN; Great Britain pounds; MGA; Meiosis genetic algorithms; U.S dollar; USD-GBP; artificial neural networks; currency exchange rates; economic system; experimental forecast exchange rates; intelligence cyberspace experimental; prediction exchange rate forecasting; Artificial neural networks; Biological neural networks; Cells (biology); Exchange rates; Humans; Predictive models; Artificial Neural Networks; Exchange rate; Meiosis Genetic Algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Information Engineering (ICEIE), 2010 International Conference On

Conference_Location

Kyoto

Print_ISBN

978-1-4244-7679-4

Electronic_ISBN

978-1-4244-7681-7

Type

conf

DOI

10.1109/ICEIE.2010.5559706

Filename

5559706