Kód: 01651722
This book offers a comprehensive introduction to learning classifier systems (LCS) or more generally, rule-based evolutionary online learning systems. LCSs learn interactively much like a neural network but with an increased adapt ... celý popis
Angličtina
Nákupem získáte 236 bodů
Anotace knihy
This book offers a comprehensive introduction to learning classifier systems (LCS) or more generally, rule-based evolutionary online learning systems. LCSs learn interactively much like a neural network but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types, genetic algorithms, and reinforcement learning as well as a principled, modular analysis approach to understand, analyze, and design LCSs. The analysis is exemplarily carried through on the XCS classifier system the currently most prominent system in LCS research. Several enhancements are introduced to XCS and evaluated. An application suite is provided including classification, reinforcement learning and data-mining problems. Reconsidering John Holland s original vision, the book finally discusses the current potentials of LCSs for successful applications in cognitive science and related areas.
Parametry knihy
Zařazení knihy Knihy v angličtině Computing & information technology Computer science
2357 Kč
Angličtina
Osobní odběr Praha, Brno a 47512 dalších
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