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Applied Genetic Programming and Machine Learning
Af: Hitoshi Iba, Topon Kumar Paul, Yoshihiko Hasegawa
Engelsk
Bogcover for Applied Genetic Programming and Machine Learning af Hitoshi Iba, Topon Kumar Paul, Yoshihiko Hasegawa, 9780367385279
Specifikationer
Sprog:
Engelsk
Sider:
349
ISBN-13:
9780367385279
Indbinding:
Paperback
ISBN-10:
0367385279
Kategori:
Udg. Dato:
10 okt 2019
Størrelse i cm:
15,6 x 36,5 x 2,1
Forlag:
Oplagsdato:
10 okt 2019
Forfatter(e):
Genre:

Applied Genetic Programming and Machine Learning

Af: Hitoshi Iba, Topon Kumar Paul, Yoshihiko Hasegawa
Engelsk
Paperback 2019
Format:
Paperback
Bog beskrivelse

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.

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Specifikationer
Sprog:
Engelsk
Sider:
349
ISBN-13:
9780367385279
Indbinding:
Paperback
ISBN-10:
0367385279
Kategori:
Udg. Dato:
10 okt 2019
Størrelse i cm:
15,6 x 36,5 x 2,1
Forlag:
Oplagsdato:
10 okt 2019
Forfatter(e):
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