Hardcover
Summarizes and analyzes the field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. The book is aimed at probabilists, analysts, statisticians and mathematicians.
Save 3%
GENETIC FUZZY SYSTEMS: EVOLUTIONARY TUNING AND LEARNING OF FUZZY KNOWLEDGE BASES
Evolutionary Tuning and Learning of Fuzzy Knowledge Bases
RRP$247.95
$239.99
- Hardcover
488 pages
- Release Date
16 July 2001
Check Delivery Options
Summary
In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic.
The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design p…
Book Details
| ISBN-13: | 9789810240165 |
|---|---|
| ISBN-10: | 9810240163 |
| Author: | Francisco Herrera, Frank Hoffmann, Luis Magdalena, Oscar Cordón |
| Publisher: | World Scientific Publishing Co Pte Ltd |
| Imprint: | World Scientific Publishing Co Pte Ltd |
| Format: | Hardcover |
| Number of Pages: | 488 |
| Release Date: | 16 July 2001 |
| Weight: | 748g |
| Series: | ADVANCES IN FUZZY SYSTEMS-APPLICATIONS AND THEORY |
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.