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

Editore: Springer, 2009

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271 Seiten; 9783642045158.2 Gewicht in Gramm: 1.

Codice articolo 964764

Dati bibliografici

• Titolo: Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition (Studies in Computational Intelligence, 256, Band 256)
• Editore: Springer
• Data di pubblicazione: 2009
• Lingua: Inglese
• ISBN 10: 3642045154
• ISBN 13: 9783642045158
• Rilegatura: hardcover
• Condizione: Sehr gut
• Cataloghi dei venditori:
  • Varia

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

"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.