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

ISBN 10: 3642260659 / ISBN 13: 9783642260650

Verlag: Springer, 2012

Beschreibung

Bestandsnummer des Verkäufers ABLIING23Mar3113020222045

Bibliografische Details

Titel: Bio-Inspired Hybrid Intelligent Systems for ...

Verlag: Springer

Erscheinungsdatum: 2012

Einband: Softcover

Zustand: New

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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.

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"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.