Self-Evolvable Systems

Lieferzeit: Lieferbar innerhalb 14 Tagen

160,49 

Machine Learning in Social Media, Understanding Complex Systems

ISBN: 3642431496
ISBN 13: 9783642431494
Autor: Iordache, Octavian
Verlag: Springer Verlag GmbH
Umfang: xxii, 278 S.
Erscheinungsdatum: 09.08.2014
Auflage: 1/2014
Produktform: Kartoniert
Einband: Kartoniert

InhaltsangabeIntroduction.- General Framework.- Differential Models.- Informational Criteria.- Self-Evolvability for Physical and Chemical Systems.- Self-Evolvability for Biosystems.- Self-Evolvability for Cognitive Systems.- Control Systems.- Manufacturing Systems.- Concept Lattices.- Design of Experiments.- Perspectives.

Artikelnummer: 7081260 Kategorie:

Beschreibung

This monograph presents key method to successfully manage the growing  complexity of systems  where conventional engineering and scientific methodologies and technologies based on learning and adaptability come to their limits and new ways are nowadays required. The transition from adaptable to evolvable and finally to self-evolvable systems is highlighted, self-properties such as self-organization, self-configuration, and self-repairing are introduced and challenges and limitations of the self-evolvable engineering systems are evaluated.

Herstellerkennzeichnung:


Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

E-Mail: juergen.hartmann@springer.com

Das könnte Ihnen auch gefallen …