Computational Intelligence [E-Book] : A Methodological Introduction / by Rudolf Kruse, Sanaz Mostaghim, Christian Borgelt, Christian Braune, Matthias Steinbrecher.
Computational intelligence comprises concepts, paradigms, algorithms, and implementations of systems that are intended to exhibit intelligent behavior in complex environments. It relies heavily on (at least) nature-inspired methods, which have the advantage that they tolerate incomplete, imprecise a...
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Full text |
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Personal Name(s): | Kruse, Rudolf, author |
Borgelt, Christian, author / Braune, Christian, author / Mostaghim, Sanaz, author / Steinbrecher, Matthias, author | |
Edition: |
3rd edition 2022. |
Imprint: |
Cham :
Springer,
2022
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Physical Description: |
XIV, 639 pages 324 illustrations, 42 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9783030422271 |
DOI: |
10.1007/978-3-030-42227-1 |
Series Title: |
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Texts in Computer Science
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Subject (LOC): |
- Introduction
- Part I: Neural Networks
- Introduction
- Threshold Logic Units
- General Neural Networks
- Multi-Layer Perceptrons
- Radial Basis Function Networks
- Self-Organizing Maps
- Hopfield Networks
- Recurrent Networks
- Mathematical Remarks for Neural Networks
- Part II: Evolutionary Algorithms
- Introduction to Evolutionary Algorithms
- Elements of Evolutionary Algorithms
- Fundamental Evolutionary Algorithms
- Computational Swarm Intelligence
- Part III: Fuzzy Systems
- Fuzzy Sets and Fuzzy Logic
- The Extension Principle
- Fuzzy Relations
- Similarity Relations
- Fuzzy Control
- Fuzzy Data Analysis
- Part IV: Bayes and Markov Networks
- Introduction to Bayes Networks
- Elements of Probability and Graph Theory
- Decompositions
- Evidence Propagation
- Learning Graphical Models
- Belief Revision
- Decision Graphs.