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Applications of artificial intelligence in finance and economics /
The result of the selection of papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence'. This volume will appeal to economists interested in adopting an inte...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , |
| Formato: | Electrónico Congresos, conferencias eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Elsevier JAI,
2004.
|
| Colección: | Advances in econometrics ;
v. 19. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Statistical analysis of genetic algorithms in discovering technical trading strategies / Chueh-Yung Tsao, Shu-Heng Chen
- Co-evolving neural networks with evolutionary strategies : a new application to divisia money / Jane M. Binner, Graham Kendall, Alicia Gazely
- Forecasting the EMU inflation rate : linear econometric vs. non-linear computational models using genetic neural fuzzy systems / Stefan Kooths, Timo Mitze, Eric Ringhut
- Finding or not finding rules in time series / Jessica Lin, Eamonn Keogh
- A comparison of var and neural networks with genetic algorithm in forecasting price of oil / Sam Mirmirani, Hsi Cheng Li
- Searching for divisia/inflation relationships with the aggregate feedforward neural network / Vincent A. Schmidt, Jane M. Binner
- Predicting housing value : genetic algorithm attribute selection and dependence modelling utilising the gamma test / Ian D. Wilson, Antonia J. Jones, David H. Jenkins, J.A. Ware
- A genetic programming approach to model international short-term capital flow / Tina Yu, Shu-Heng Chen, Tzu-Wen Kuo
- Tools for non-linear time series forecasting in economics : an empirical comparison of regime switching vector autoregressive models and recurrent neural networks / Jane M. Binner, Thomas Elger, Birger Nilsson, Jonathan A. Tepper
- Using non-parametric search algorithms to forecast daily excess stock returns / Nathan Lael Joseph, David S. Bre, Efstathios Kalyvas.