Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence, 256, Band 256)

Melin, Patricia und Witold Pedrycz:

ISBN 10: 3642045154 / ISBN 13: 9783642045158

Verlag: Springer, 2009

Beschreibung

271 Seiten; 9783642045158.2 Gewicht in Gramm: 1.

Bestandsnummer des Verkäufers 964764

Bibliografische Details

• Titel: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence, 256, Band 256)
• Verlag: Springer
• Erscheinungsjahr: 2009
• Sprache: Englisch
• ISBN-10: 3642045154
• ISBN-13: 9783642045158
• Einband: hardcover
• Zustand: Sehr gut
• Gewicht: 1 Gramm
• Verkäuferkataloge:
  • Varia

Über diesen Titel

Inhaltsangabe

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems.

The articles are divided into four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book in which both theoretical and application aspects are covered.

Von der hinteren Coverseite

"Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided in four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book where both theoretical and application aspects are covered.