Intelligent Systems and Financial Forecasting (Perspectives in Neural Computing) - Tapa blanda

Kingdon, Jason

 
9783540760986: Intelligent Systems and Financial Forecasting (Perspectives in Neural Computing)
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ISBN 10: 3540760989 ISBN 13: 9783540760986
Editorial: Springer-Verlag, 1997

Sinopsis

This book examines the design of an automated system for financial time series forecasting. It explores the level of automation which can be achieved by a system for modelling a given financial time series with the minimum of human intervention. It aims t

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Reseña del editor

A fundamental objective of Artificial Intelligence (AI) is the creation of in­ telligent computer programs. In more modest terms AI is simply con­ cerned with expanding the repertoire of computer applications into new domains and to new levels of efficiency. The motivation for this effort comes from many sources. At a practical level there is always a demand for achieving things in more efficient ways. Equally, there is the technical challenge of building programs that allow a machine to do something a machine has never done before. Both of these desires are contained within AI and both provide the inspirational force behind its development. In terms of satisfying both of these desires there can be no better example than machine learning. Machines that can learn have an in-built effi­ ciency. The same software can be applied in many applications and in many circumstances. The machine can adapt its behaviour so as to meet the demands of new, or changing, environments without the need for costly re-programming. In addition, a machine that can learn can be ap­ plied in new domains with the genuine potential for innovation. In this sense a machine that can learn can be applied in areas where little is known about possible causal relationships, and even in circumstances where causal relationships are judged not to exist. This last aspect is of major significance when considering machine learning as applied to fi­ nancial forecasting.

Reseña del editor

This book examines the design of an automated system for financial time series forecasting. It explores the level of automation which can be achieved by a system for modelling a given financial time series with the minimum of human intervention. It aims to help the reader understand the issues involved in setting neural network, or genetic algorithm parameters, and to develop methods to deal with the problems they raise in a practical manner. Intelligent Systems and Financial Forecasting will provide invaluable reading material for academic and industrial researchers (particularly those with an interest in the application of adaptive system technology), information technology consultants applying adaptive system techniques, and graduate/postgraduate students in machine learning, AI, business modelling and finance.

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Editorial
Springer-Verlag
Año de publicación
1997
Idioma
Inglés
ISBN 10 
3540760989
ISBN 13 
9783540760986
Encuadernación
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Número de páginas
240
Contacto del fabricante
Springer-Verlag GmbH
customerservice@springernature.com

Tiergartenstraße 17
Heidelberg
Baden-Württemberg
69121
Alemania

Otras ediciones populares con el mismo título

9781447109501: Intelligent Systems and Financial Forecasting

Edición Destacada

ISBN 10:  1447109503 ISBN 13:  9781447109501
Editorial: Springer, 2011
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