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Página 86
Furthermore , the expert knowledge of experienced employees contains vague knowledge . Both origins of vagueness are cases of linguistic uncertainty . Thus , fuzzy logic is an appropriate method for enabling the integration of vague ...
Furthermore , the expert knowledge of experienced employees contains vague knowledge . Both origins of vagueness are cases of linguistic uncertainty . Thus , fuzzy logic is an appropriate method for enabling the integration of vague ...
Página 121
The intelligent system develops only the kind of mathematical models that are more likely to give a " good ' prediction based on the knowledge that human experts have about this matter . This knowledge is contained in the knowledge base ...
The intelligent system develops only the kind of mathematical models that are more likely to give a " good ' prediction based on the knowledge that human experts have about this matter . This knowledge is contained in the knowledge base ...
Página 149
The main advantages of a rule - based neural network are two - fold : we can use domain knowledge in the form of inference rules to set up the initial structure of the neural network and we can extract refined domain knowledge from the ...
The main advantages of a rule - based neural network are two - fold : we can use domain knowledge in the form of inference rules to set up the initial structure of the neural network and we can extract refined domain knowledge from the ...
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Contenido
Solving Robust Optimization Models in Finance | 1 |
FINANCIAL COMPUTING ENVIRONMENTS | 14 |
MARKET BEHAVIOR MODELS | 27 |
Derechos de autor | |
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Otras ediciones - Ver todas
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational ... IEEE Neural Networks Council Vista de fragmentos - 1998 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial ... Vista de fragmentos - 1995 |
Términos y frases comunes
Adaptive algorithm analysis applications approach asset attributes average calculated changes cluster companies compared computed consider correlation currency decision defined dependent derivative described determine developed deviation distribution dynamics economic effects efficient Engineering equation error estimate example exchange rate exist expected factors Figure firms forecasting function future fuzzy given implied included indices individual input interest investment Journal knowledge learning linear mean measure method neural network node nonlinear objective observed obtained operator optimization option output parameters patterns performance period portfolio positive possible prediction present problem procedure random ratio regression relations reported represents returns risk rules sample selection shown shows simulation standard statistical stock market strategy structure Table techniques trading University valuation variables vector volatility weights
Información bibliográfica
| Título | Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering (CIFEr): April 9-11, 1995, New York City, Crowne Plaza Manhattan |
| Colaboradores | IEEE Computer Society, IEEE Neural Networks Council, International Association of Financial Engineers |
| Editor | IEEE Service Center, 1995 |
| Procedencia del original | Universidad de Michigan |
| Digitalizado | 10 Ene. 2008 |
| ISBN | 0780321464, 9780780321465 |
| Largo | 192 páginas |
| Exportar cita | BiBTeX EndNote RefMan |