Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models

DOI10.1007/978-0-387-87685-6_17zbMath1153.91786OpenAlexW2161908013MaRDI QIDQ3539245

Gulgun Kayakutlu, Erkam Güreşen

Publication date: 17 November 2008

Published in: IFIP – The International Federation for Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-0-387-87685-6_17

Mathematics Subject Classification ID

Economic time series analysis (91B84) Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (1)

Classification of arrangements by the number of their cells

This page was built for publication: Forecasting Stock Exchange Movements Using Artificial Neural Network Models and Hybrid Models