The prediction of currency exchange ratesusing artificial neural networks

This paper describes the analysis of a neural network used to predict currencyexchange rates in comparison to technical analysis. The neural network structuresused are a multilayer perceptron and a Volterra network.[...]

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Year of publication:	2011
Authors:	Kryuchin, Oleg V. ; Arzamastev, Alexander A. ; Troitzsch, Klaus G.
Institutions:	Universität <Koblenz
Subject:	Wirtschaftsinformatik \| business informatics \| Netzwerk \| Wechselkurs \| Zeitreihe

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Extent:	730112 bytes 18 p. application/pdf
Series:	Universität Koblenz-Landau - Fachbereich Informatik - Publikationen Nr. 4/2011
Type of publication:	Book / Working Paper
Language:	English
ISSN:	1864-0850
Classification:	Financial theory ; Applications ; Individual Working Papers, Preprints ; No country specification
Source:	USB Cologne (business full texts)

Persistent link: https://www.econbiz.de/10009354105