A comparison between nature-inspired and machine learning approaches to detecting trend reversals in financial time series
Year of publication: |
2011
|
---|---|
Authors: | Azzini, Antonia ; Felice, Matteo De ; Tettamanzi, Andrea G. B. |
Published in: |
Natural computing in computational finance : volume 4. - Berlin [u.a.] : Springer, ISBN 978-3-642-23335-7. - 2011, p. 39-59
|
Subject: | swarm optimization | Finanzmarkt | Financial market | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Computerunterstützung | Computerized method | Heuristik | Heuristics | Theorie | Theory |
-
Reservoir computing vs. neural networks in financial forecasting
Georgopoulos, Spyros P., (2023)
-
Evolutionary computation in economics and finance : with 66 tables
Chen, Shu-Heng, (2002)
-
Makarewicz, Tomasz, (2019)
- More ...
-
Modeling turning points in financial markets with soft computing techniques
Azzini, Antonia, (2010)
-
Fuzzy-evolutionary modeling for single-position day trading
Costa Pereira, Célia da, (2008)
-
Toleikyte, Agne, (2023)
- More ...