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)

Predicting the future for financial gain is a difficult, sometimes profitable activity. This book focuses on the application of biologically inspired algorithms (BIAs) to financial modelling. It explains computer trading on financial markets and the difficulties faced in financial market modelling.
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Applies biologically inspired algorithms (BIAs) to financial modeling Shows how financial modeling benefits from techniques developed for biological studies: neural networks, evolutionary computing, particle swarm and ant colony optimization, and immune systems The authors are unusually well qualified to explain BIA methodologies to financial trading specialists, and financial trading models to computer scientists This approach has been refined in postgraduate classes in both disciplines Includes supplementary material: sn.pub/extras
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Produktdetaljer

ISBN
9783540262527
Publisert
2005-12-16
Utgiver
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
15