Economic Modeling Using Artificial Intelligence Methods
Economic Modeling Using Artificial Intelligence Methods examines the application of artificial intelligence methods to model economic data. Traditionally, economic modeling has been modeled in the linear domain where the principles of superposition are valid. The application of artificial intelligen...
| Κύριος συγγραφέας: | |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
London :
Springer London : Imprint: Springer,
2013.
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| Σειρά: | Advanced Information and Knowledge Processing,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Foreword
- Preface
- Acknowledgements
- Introduction to Economic Modeling
- Techniques for Economic Modeling: Unlocking the Character of Data
- Automatic Relevance Determination in Economic Modeling
- Neural Approaches to Economic Modeling
- Bayesian Support Vector Machines for Economic Modeling: Application to Option Pricing
- Rough Sets Approach to Economic Modeling: Unlocking Knowledge in Financial Data
- Missing Data Approaches to Economic Modeling: Optimization Approach
- Correlations versus Causality Approaches to Economic Modeling
- Evolutionary Approaches to Computational Economics: Application to Portfolio Optimization
- Real-time Approaches to Computational Economics: Self Adaptive Economic Systems
- Multi-Agent Approaches to Economic Modeling: Game Theory, Ensembles, Evolution and the Stock Market
- Control Approaches to Economic Modeling: Application to Inflation Targeting
- Modeling Interstate Conflict: The Role of Economic Interdependency for Maintaining Peace
- Conclusions and Further Work
- Index.
