Will N. Browne – författare
Simulated Evolution and Learning
10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings
565 kr
Skickas inom 10-15 vardagar
687 kr
Läs direkt efter köp
677 kr
Skickas inom 10-15 vardagar
870 kr
Läs direkt efter köp
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.