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Sinopsis
A new generation of computing techniques, commonly known as "intelligent systems", are now being applied to a variety of financial and business modelling tasks. These techniques include genetic algorithms, neural networks, dynamical systems models (chaos theory), expert systems, rule induction, fuzzy systems and hybrids of these techniques. They are also being applied to stock market prediction, portfolio management, credit evaluation, fraud detection, insurance risk assessment, macro-economic modelling, and in many cases are outperforming traditional statistical techniques. This study analyzes the relative merits of the different techniques for financial and economic modelling, and examines current applications.
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Reseña del editor
A new generation of computing techniques, commonly known as "intelligent systems", are now being applied to a variety of financial and business modelling tasks. These techniques include genetic algorithms, neural networks, dynamical systems models (chaos theory), expert systems, rule induction, fuzzy systems and hybrids of these techniques. They are also being applied to stock market prediction, portfolio management, credit evaluation, fraud detection, insurance risk assessment, macro-economic modelling, and in many cases are outperforming traditional statistical techniques. This study analyzes the relative merits of the different techniques for financial and economic modelling, and examines current applications.
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Intelligent Systems For Finance And Business
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Intelligent Systems for Finance and Business
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hardcover. Condición: New. In shrink wrap. Looks like an interesting title! Nº de ref. del artículo: Q-0471944041
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Intelligent Systems for Finance and Business
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John Wiley and Sons Ltd, 1995
ISBN 10: 0471944041
ISBN 13: 9780471944041
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
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Hardback. Condición: Good. A new generation of computing techniques, commonly known as "intelligent systems", are now being applied to a variety of financial and business modelling tasks. These techniques include genetic algorithms, neural networks, dynamical systems models (chaos theory), expert systems, rule induction, fuzzy systems and hybrids of these techniques. They are also being applied to stock market prediction, portfolio management, credit evaluation, fraud detection, insurance risk assessment, macro-economic modelling, and in many cases are outperforming traditional statistical techniques. This study analyzes the relative merits of the different techniques for financial and economic modelling, and examines current applications. Nº de ref. del artículo: CIN0471944041G
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Intelligent Systems for Finance and Business
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Intelligent Systems for Finance and Business
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Condición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Nº de ref. del artículo: Z1-I-008-01676
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