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Introduction to Learning Classifier Systems eBook
$54.99 Original price was: $54.99.$12.00Current price is: $12.00.
By: Ryan J. Urbanowicz; Will N. Browne
Publisher: Springer
Print ISBN: 9783662550069, 3662550067
eText ISBN: 9783662550076, 3662550075
Copyright year: 2017
Format: Fixed
eText ISBN: 9783662550076
SKU: 9783662550076
Category: Trending
Tags: Computers, Intelligence (AI) & Semantics
Print ISBN: 9783662550069
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, and machine learning practitioners.
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