This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While th… Mehr…
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets. eBook Nuno Horta#António M. L. Canelas#Rui F. M. F. Neves PDF, Springer, 26.09.2012, Springer, 2012<
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This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While th… Mehr…
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets. eBook Nuno Horta#António M. L. Canelas#Rui F. M. F. Neves 26.09.2012, Springer, Springer<
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Investment Strategies Optimization based on a SAX-GA Methodology: ab 53.49 € eBooks > Fachthemen & Wissenschaft > Mathematik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While th… Mehr…
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets. eBook Nuno Horta#António M. L. Canelas#Rui F. M. F. Neves PDF, Springer, 26.09.2012, Springer, 2012<
Nr. 33785234. Versandkosten:, Sofort per Download lieferbar, DE. (EUR 0.00)
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While th… Mehr…
This book presents a new computational finance approach combining a Symbolic Aggregate approximation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets. eBook Nuno Horta#António M. L. Canelas#Rui F. M. F. Neves 26.09.2012, Springer, Springer<
Nr. 33785234. Versandkosten:, Sofort per Download lieferbar, zzgl. Versandkosten. (EUR 17.07)
Investment Strategies Optimization based on a SAX-GA Methodology: ab 53.49 € eBooks > Fachthemen & Wissenschaft > Mathematik Springer-Verlag GmbH eBook als pdf, Springer-Verlag GmbH
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Detailangaben zum Buch - Investment Strategies Optimization based on a SAX-GA Methodology
EAN (ISBN-13): 9783642331107 Erscheinungsjahr: 2013 Herausgeber: Springer Berlin
Buch in der Datenbank seit 2007-08-25T00:12:43+02:00 (Vienna) Detailseite zuletzt geändert am 2023-04-29T08:52:03+02:00 (Vienna) ISBN/EAN: 9783642331107
ISBN - alternative Schreibweisen: 978-3-642-33110-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: hört, antonio, neve, hort, horta Titel des Buches: sax
Daten vom Verlag:
Autor/in: António M.L. Canelas; Rui F.M.F. Neves; Nuno C.G. Horta Titel: SpringerBriefs in Computational Intelligence; SpringerBriefs in Applied Sciences and Technology; Investment Strategies Optimization based on a SAX-GA Methodology Verlag: Springer; Springer Berlin 81 Seiten Erscheinungsjahr: 2012-09-26 Berlin; Heidelberg; DE Sprache: Englisch 53,49 € (DE) 55,00 € (AT) 59,00 CHF (CH) Available XII, 81 p. 81 illus., 19 illus. in color.
EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Künstliche Intelligenz; Verstehen; Financial Market; Frequent Patterns; Genetic Algorithm; Pattern Discovery; Pattern Recognition; SAX Representation; quantitative finance; C; Computational Intelligence; Artificial Intelligence; Macroeconomics and Monetary Economics; Mathematics in Business, Economics and Finance; Engineering; Makroökonomie; Angewandte Mathematik; Wirtschaftswissenschaft, Finanzen, Betriebswirtschaft und Management; BC
This book presents a new computational finance approach combining a Symbolic Aggregate approXimation (SAX) technique with an optimization kernel based on genetic algorithms (GA). While the SAX representation is used to describe the financial time series, the evolutionary optimization kernel is used in order to identify the most relevant patterns and generate investment rules. The proposed approach considers several different chromosomes structures in order to achieve better results on the trading platform The methodology presented in this book has great potential on investment markets. Presents a new computational finance approach combining SAX and GA Shows soft computing and computational intelligence as solutions for financial markets Case studies presented help identifying the investment strategy to apply in different situations Includes supplementary material: sn.pub/extras
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