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Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
| Lieferstatus: |
 Auf Bestellung (Lieferzeit unbekannt) |
| Veröffentlichung: |
Oktober 2016
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| Genre: |
Naturwissensch., Medizin, Technik |
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Artificial Intelligence / Automatic control engineering / B / Computational Intelligence / Control engineering / Control, Robotics, Automation / Control, Robotics, Mechatronics / Electronic devices & materials |
| ISBN: |
9783319369617 |
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EAN-Code:
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9783319369617 |
| Verlag: |
Springer EN |
| Einband: |
Kartoniert |
| Sprache: |
English
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| Serie: |
#601 - Studies in Computational Intelligence |
| Dimensionen: |
H 235 mm / B 155 mm / D |
| Gewicht: |
9708 gr |
| Seiten: |
637 |
| Illustration: |
XII, 637 p. 307 illus., 226 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen |
| Zus. Info: |
EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
| This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques. |
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