Computational Intelligence in Economics and FinancePaul P. Wang Springer Science & Business Media, 2013. gada 9. marts - 480 lappuses Due to the ability to handle specific characteristics of economics and finance forecasting problems like e.g. non-linear relationships, behavioral changes, or knowledge-based domain segmentation, we have recently witnessed a phenomenal growth of the application of computational intelligence methodologies in this field. In this volume, Chen and Wang collected not just works on traditional computational intelligence approaches like fuzzy logic, neural networks, and genetic algorithms, but also examples for more recent technologies like e.g. rough sets, support vector machines, wavelets, or ant algorithms. After an introductory chapter with a structural description of all the methodologies, the subsequent parts describe novel applications of these to typical economics and finance problems like business forecasting, currency crisis discrimination, foreign exchange markets, or stock markets behavior. |
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... example , domain segmentation might be employed , which involves the identification of segments within the decision space where the implicit relationship between variables is constant . Such segmentation has been demonstrated to provide ...
... Example 1 .. 2.8 Fuzzy Adjustment via Fuzzy Intervention Analysis . 2.8.1 Intervention Models 2.8.2 Fuzzy Intervention Models . 2.9 Conclusion 2.8.3 Example 2 . . . . References 66 67 67 69 69 70 70 71 71 72 72 73 74 74 74 74 75 75 75 ...
... Example II . 108 3.11 Dynamic Programming for Multilevel Investment Analysis ... 109 3.11.1 Fuzzy Dynamic ... Example . 115 3.12 Conclusions . 124 References 125 Appendix 127 4. Rough Sets Theory and Multivariate Data Analysis in ...
... Example 6.5 Conclusions . References 7. Saliency Analysis of Support Vector Machines for Feature Selection in Financial Time Series Forecasting 171 171 171 172 173 176 177 177 178 179 180 Lijuan Cao and Francis E. H. Tay 182 7.1 ...
... example , consider the following economic reasoning based on natural language : " The govern- ment will adopt a loose monetary policy , if the unemployment rate is contin- uously high . " " The economic prospects of the economy are not ...
Saturs
3 | |
References | 51 |
Intelligent System to Support Judgmental | 57 |
References | 91 |
Cengiz Kahraman and Cafer Erhan Bozdağ | 93 |
References | 125 |
References | 145 |
Forecasting the Opening Cash Price Index in Integrating | 149 |
References | 261 |
Can Financial | 288 |
References | 296 |
Discovering Hidden Patterns with Genetic Programming | 327 |
Numerical Solutions to a Stochastic Growth Model | 348 |
References | 357 |
References | 368 |
Towards Automated Optimal Equity Portfolios | 387 |
References | 169 |
References | 180 |
Searching Financial Patterns with Selforganizing Maps | 201 |
References | 216 |
References | 232 |
Pattern Matching in Multidimensional Time Series | 251 |
tions | 400 |
Learning and Monetary Policy in a Spectral Analysis | 420 |
References | 446 |
How Information Technology Creates Business Value | 448 |
References | 465 |