Applied genetic programming and machine learning /

What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Ma...

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Bibliographic Details
Main Author: Iba, Hitoshi (Author)
Corporate Author: Taylor & Francis
Other Authors: Paul, Topon Kumar, Hasegawa, Yoshihiko
Format: eBook
Language:English
Language Notes:English.
Published: Boca Raton [Fla.] : CRC Press, 2010.
Series:CRC Press international series on computational intelligence.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:What do financial data prediction, day-trading rule development, and bio-marker selection have in common? They are just a few of the tasks that could potentially be resolved with genetic programming and machine learning techniques. Written by leaders in this field, Applied Genetic Programming and Machine Learning delineates the extension of Genetic Programming (GP) for practical applications. Reflecting rapidly developing concepts and emerging paradigms, this book outlines how to use machine learning techniques, make learning operators that efficiently sample a search space, navigate the searc.
Item Description:Description based upon print version of record.
Physical Description:1 online resource (354 p.).
Bibliography:Includes bibliographical references and index.
ISBN:0429166044
9780429166044
1282296906
9781282296909
9786612296901
6612296909
1439803706
9781439803707