Strong typing, variable reduction and bloat control for solving the bankruptcy prediction problem using genetic programming
| Year of publication: |
2008
|
|---|---|
| Authors: | Alfaro-Cid, Eva ; Cuesta-Cañada, Alberto ; Sharman, Ken ; Esparcia-Alcázar, Anna I. |
| Published in: |
Natural computing in computational finance ; [the inspiration for this book stemmed from the success of EvoFin 2007, the first European Workshop on Evolutionary Computation in Finance and Economics, which was held as part of the EvoWorkshops at Evo* in Valencia, Spain in April 2007]. - Berlin [u.a.] : Springer, ISBN 978-3-540-77476-1. - 2008, p. 161-185
|
| Subject: | Insolvenz | Insolvency | Kreditwürdigkeit | Credit rating | Prognoseverfahren | Forecasting model | Clusteranalyse | Cluster analysis | Evolutionärer Algorithmus | Evolutionary algorithm | Theorie | Theory | 1998-2003 |
-
Neural networks VS discriminant analysis in the assessment of default
Wójcicka, Aleksandra, (2017)
-
Computergestützte Kreditwürdigkeitsbeurteilungen im Firmenkundengeschäft durch Diskriminanzanalysen
Leker, Jens, (1993)
-
Standardisierte Insolvenzprognose mit Hilfe qualitativer Faktoren : die Z-/Q-Methode
Hesselmann, Stephan, (1993)
- More ...
-
Hedging foreign exchange rate risk : multi-currency diversification
Álvarez-Díez, Susana, (2016)
-
Several risk measures in portfolio selction : is it worthwhile?
Baixauli-Soler, J. Samuel, (2010)
-
Hedging foreign exchange rate risk: Multi-currency diversification
Álvarez-Díez, Susana, (2016)
- More ...