Rule-Based Evolutionary Online Learning Systems / Najlacnejšie knihy
Rule-Based Evolutionary Online Learning Systems

Kód: 01651722

Rule-Based Evolutionary Online Learning Systems

Autor Martin V. Butz

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

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Anotácia 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.

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Zaradenie knihy Knihy po anglicky Computing & information technology Computer science

102.99

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