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Index
Cover
Frontmatter
1. Introduction
1. Neural Networks
2. Introduction
3. Threshold Logic Units
4. General Neural Networks
5. Multi-Layer Perceptrons
6. Radial Basis Function Networks
7. Self-organizing Maps
8. Hopfield Networks
9. Recurrent Networks
10. Mathematical Remarks
2. Evolutionary Algorithms
11. Introduction to Evolutionary Algorithms
12. Elements of Evolutionary Algorithms
13. Fundamental Evolutionary Algorithms
14. Special Applications and Techniques
3. Fuzzy Systems
15. Fuzzy Sets and Fuzzy Logic
16. The Extension Principle
17. Fuzzy Relations
18. Similarity Relations
19. Fuzzy Control
20. Fuzzy Clustering
4. Bayes Networks
21. Introduction to Bayes Networks
22. Elements of Probability and Graph Theory
23. Decompositions
24. Evidence Propagation
25. Learning Graphical Models
Backmatter
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