Mohlo by se vám také líbit

Více informací o knize Rule-Based Evolutionary Online Learning Systems

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 304 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

• Plný název: Rule-Based Evolutionary Online Learning Systems
• Podnázev: A Principled Approach to LCS Analysis and Design
• Autor: Martin V. Butz
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 259
• EAN: 9783642064777
• ISBN: 3642064779
• ID: 01651722
• Nakladatelství: Springer, Berlin
• Hmotnost: 439 g
• Rozměry: 234 × 156 × 15 mm
• Rok vydání: 2010

Oblíbené z jiného soudku

---

---

---