• Produktbild: Biologically Inspired Algorithms for Financial Modelling
  • Produktbild: Biologically Inspired Algorithms for Financial Modelling

Biologically Inspired Algorithms for Financial Modelling

Aus der Reihe Natural Computing Series

98,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.02.2010

Verlag

Springer Berlin

Seitenzahl

277

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

456 g

Auflage

Softcover reprint of hardcover 1st edition 2006

Sprache

Englisch

ISBN

978-3-642-06573-6

Beschreibung

Rezension

From the reviews:


"Anthony Brabazon and Michael O’Neill … have just published an interesting book that introduces a wide range of biologically inspired algorithms and their applications in financial modelling. … This book is a well-written, easy to read, brief introduction to the state-of-the-art biologically inspired algorithms." (Mak Kaboudan, Genetic Programming and Evolvable Machines, Vol. 7, 2006)

“The objective of this book is to provide an introduction to biologically inspired algorithms and some tightly scoped practical examples in finance. … provides some new insights and alternative tools for the financial modelling toolbox. … The goal and objective of the book is to provide practical examples using these evolutionary algorithms and it does that decently … . Overall I found the book very enlightening … and it has provided ideas and alternative ways to think about solutions.” (Brad G. Kyer, SIGACT News, Vol. 40 (4), 2009)

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

12.02.2010

Verlag

Springer Berlin

Seitenzahl

277

Maße (L/B/H)

23,5/15,5/1,7 cm

Gewicht

456 g

Auflage

Softcover reprint of hardcover 1st edition 2006

Sprache

Englisch

ISBN

978-3-642-06573-6

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

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  • Produktbild: Biologically Inspired Algorithms for Financial Modelling
  • Produktbild: Biologically Inspired Algorithms for Financial Modelling
  • Methodologies.- Neural Network Methodologies.- Evolutionary Methodologies.- Grammatical Evolution.- The Particle Swarm Model.- Ant Colony Models.- Artificial Immune Systems.- Model Development.- Model Development Process.- Technical Analysis.- Case Studies.- Overview of Case Studies.- Index Prediction Using MLPs.- Index Prediction Using a MLP-GA Hybrid.- Index Trading Using Grammatical Evolution.- Adaptive Trading Using Grammatical Evolution.- Intra-day Trading Using Grammatical Evolution.- Automatic Generation of Foreign Exchange Trading Rules.- Corporate Failure Prediction Using Grammatical Evolution.- Corporate Failure Prediction Using an Ant Model.- Bond Rating Using Grammatical Evolution.- Bond Rating Using AIS.- Wrap-up.