Introduction to Learning Classifier Systems

Language: English

Published by Springer, Berlin, Springer, 2017

3662550067 / 9783662550069

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This accessible introduction shows the reader how to understand, implement, adapt, and apply Learning Classifier Systems (LCSs) to interesting and difficult problems. The text builds an understanding from basic ideas and concepts. The authors first explore learning through environment interaction, and then walk through the components of LCS that form this rule-based evolutionary algorithm. The applicability and adaptability of these methods is highlighted by providing descriptions of common methodological alternatives for different components that are suited to different types of problems from data mining to autonomous robotics. The authors have also paired exercises and a simple educational LCS (eLCS) algorithm (implemented in Python) with this book. It is suitable for courses or self-study by advanced undergraduate and postgraduate students in subjects such as Computer Science, Engineering, Bioinformatics, and Cybernetics, and by researchers, data analysts, andmachine learning practitioners.…

Seller Inventory # 9783662550069

Title
Introduction to Learning Classifier Systems
Author
Ryan J. Urbanowicz
Publisher
Springer, Berlin, Springer
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3662550067
ISBN 13
9783662550069
Item weight
232 grams
Dimensions
233x156x8 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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