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Neural Networks In Financial Engineering - Proceedings Of The Third International Conference On Neural Networks In The Capital Markets: 2 (Progress In Neural Processing) - Softcover
Inhaltsangabe
One of the most exciting applications of neural networks in recent times has been to improve investment performance in the financial markets. Neural networks can be harnessed for this task as they bear many mathematical similarities to the nonlinear econometric models used to study the microstructure of the financial markets.Since 1993, this annual conference has been bringing together investment managers, neural network researchers, statisticians, econometricians, and computer scientists for an insight into the state of the art in this area. The proceedings of the 1995 meeting will give investment managers, institutional investors and analysts a comprehensive look at the most profitable applications of this fascinating new technology in today's financial markets.
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Reseña del editor
One of the most exciting applications of neural networks in recent times has been to improve investment performance in the financial markets. Neural networks can be harnessed for this task as they bear many mathematical similarities to the nonlinear econometric models used to study the microstructure of the financial markets.Since 1993, this annual conference has been bringing together investment managers, neural network researchers, statisticians, econometricians, and computer scientists for an insight into the state of the art in this area. The proceedings of the 1995 meeting will give investment managers, institutional investors and analysts a comprehensive look at the most profitable applications of this fascinating new technology in today's financial markets.
Reseña del editor
Neural networks can be used for improving investment performance in the financial markets, as they bear many mathematical similarities to the nonlinear econometric models used to study the microstructure of the financial markets. The papers in this text have been taken from the 3rd International Conference on Neural Networks in the Capital Markets, an annual conference that has brought together investment managers, neural network researchers, statisticians, econometricians and computer scientists for an insight into the state of the art in this area. In this volume, the papers aim to give investment managers, institutional investors and analysts a comprehensive look at the most profitable applications of this technology.
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Neural Networks in Financial Engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets London, England . October 95 (Progress in Neural Processing, 2)
Verlag:
World Scientific Pub Co Inc, 1996
ISBN 10: 9810228198
ISBN 13: 9789810228194
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Soft cover
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Anbieter: Bingo Books 2, Vancouver, WA, USA
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Soft cover. Zustand: Very Good. 1st Edition. soft cover in very good condition,clean no names,writing,etc. Bestandsnummer des Verkäufers 317209
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Neural Networks in Financial Engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets London, England . October 95 (Progress in Neural Processing, 2)
Verlag:
World Scientific Pub Co Inc, 1802
ISBN 10: 9810228198
ISBN 13: 9789810228194
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Softcover
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Zustand: 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. Bestandsnummer des Verkäufers Z1-B-015-01172
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Beispielbild für diese ISBN
Neural Networks in Financial Engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets London, England . October 95 (Progress in Neural Processing, 2)
Verlag:
World Scientific Pub Co Inc 0, 1802
ISBN 10: 9810228198
ISBN 13: 9789810228194
Gebraucht
paperback
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Verkäuferbewertung 4 von 5 Sternen
paperback. Zustand: Good. Good. book. Bestandsnummer des Verkäufers D8S0-3-M-9810228198-3
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