Exchange-rates forecasting: A hybrid algorithm based on genetically optimized adaptive neural networks

DOI10.1023/A:1020989601082zbMath1036.91019OpenAlexW1595322697WikidataQ57537761 ScholiaQ57537761MaRDI QIDQ1872062

Andreas S. Andreou, Efstratios F. Georgopoulos, Spiridon D. Likothanassis

Publication date: 4 May 2003

Published in: Computational Economics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1020989601082

zbMATH Keywords

neural networksgenetic algorithmsfilteringforecastingexchange-rates

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Soft computing hybrids for FOREX rate prediction: a comprehensive review ⋮ Application of grey relational analysis and artificial neural networks on currency exchange-traded notes (ETNs)

Uses Software

• Genocop

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