Fuzzy modeling and genetic algorithms for data mining and exploration
Fuzzy Modeling and Genetic Algorithms for Data Mining and Exploration is a handbook for analysts, engineers, and managers involved in developing data mining models in business and government. As youll discover, fuzzy systems are extraordinarily valuable tools for representing and manipulating all ki...
| Κύριος συγγραφέας: | Cox, Earl. |
|---|---|
| Μορφή: | Ηλεκτρονική πηγή |
| Γλώσσα: | English |
| Στοιχεία έκδοσης: |
Amsterdam ; Boston :
Elsevier/Morgan Kaufmann,
c2005.
|
| Σειρά: |
Morgan Kaufmann series in data management systems.
|
| Θέματα: | |
| Διαθέσιμο Online: |
http://www.sciencedirect.com/science/book/9780121942755 |
| Ετικέτες: |
Προσθήκη ετικέτας
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|
Πίνακας περιεχομένων:
- Foundations and ideas
- Principal model types
- Approaches to model building
- Fundamental concepts of fuzzy logic
- Fundamental concepts of fuzzy systems
- Fuzzy SQL and intelligent queries
- Fuzzy clustering
- Fuzzy rule induction
- Fundamental concepts of genetic algorithms
- Genetic resource scheduling optimization
- Genetic tuning of fuzzy models.