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Applied Genetic Programming and Machine Learning (CRC Press International Series on Computational Intelligence) - Tapa dura

Iba, Hitoshi; Hasegawa, Yoshihiko; Paul, Topon Kumar

 
9781439803691: Applied Genetic Programming and Machine Learning (CRC Press International Series on Computational Intelligence)
Tapa dura
ISBN 10: 1439803692 ISBN 13: 9781439803691
Editorial: CRC Press, 2009

Sinopsis

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 search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. It provides a methodology for integrating GP and machine learning techniques, establishing a robust evolutionary framework for addressing tasks from areas such as chaotic time-series prediction, system identification, financial forecasting, classification, and data mining.

The book provides a starting point for the research of extended GP frameworks with the integration of several machine learning schemes. Drawing on empirical studies taken from fields such as system identification, finanical engineering, and bio-informatics, it demonstrates how the proposed methodology can be useful in practical inductive problem solving.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Iba, Hitoshi; Hasegawa, Yoshihiko; Paul, Topon Kumar

De la contraportada

Reflecting emerging concepts and new paradigms in intelligent machines, this is the first book to integrate genetic programming and machine learning techniques for solving a wide range of real-world tasks-including financial data prediction, day-trading rule development, and bio-marker selection. Written by a leading authority, the book explains how to: use machine learning techniques, make learning operators that efficiently sample a search space, navigate the search process through the design of objective fitness functions, and examine the search performance of the evolutionary system. All source code and GUIs are made available for download.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
CRC Press
Año de publicación
2009
Idioma
Inglés
ISBN 10 
1439803692
ISBN 13 
9781439803691
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
350
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania