Introduction to Learning Classifier Systems (SpringerBriefs in Intelligent Systems)
Author | : | |
Rating | : | 4.34 (511 Votes) |
Asin | : | 3662550067 |
Format Type | : | paperback |
Number of Pages | : | 122 Pages |
Publish Date | : | 2013-04-28 |
Language | : | English |
DESCRIPTION:
from Cardiff University. in Biological Engineering from Cornell University. His main area of research is applied cognitive systems, in particular cognitive robotics, Learning Classifier Systems (LCSs), and modern heuristics for industrial application. Workshop on Learning Classifier Systems and presented LCS tutorials at GECCO.Will Browne is an Associate Professor in the School
The text builds an understanding from basic ideas and concepts. 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.. The authors first explore learning through environment interaction, and then walk throug
The authors have also paired exercises and a simple educational LCS (eLCS) algorithm (implemented in Python) with this book. 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. 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.. The text builds an understan