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Rule-Based Evolutionary Online Learning Systems (English, Martin V. Butz)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9783540253792 |
| ISBN-10 | 3540253793 |
| Author | Martin V. Butz |
Product Description
About the Book
Rule-basedevolutionaryonlinelearningsystems, oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion capabilities of genetic algorithms promising a ?exible, online general- ing, solely reinforcement dependent learning system. However, despite several i…
ISBN: 9783540253792
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Rule-Based Evolutionary Online Learning Systems
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
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Rule-Based Evolutionary Online Learning Systems is authored by Martin V. Butz.
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About the Book
Rule-basedevolutionaryonlinelearningsystems, oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the...
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