Self-Evolvable Systems : Machine Learning in Social Media

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 evol...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Iordache, Octavian
Μορφή: Livre numérique
Γλώσσα:Anglais
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Έκδοση:1st ed. 2012.
Σειρά:Understanding Complex Systems
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Σημείωση: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Self-evolvable systems, machine learning in social media, Octavian Iordache, Heidelberg, Springer, 2012, 1 vol. (XX-275 p.), Understanding complex systems, 978-3-642-28881-4
• Self-Evolvable Systems, Texte imprimé, 9783642288838
• Self-Evolvable Systems, Texte imprimé, 9783642431494
• Self-evolvable systems, machine learning in social media, Octavian Iordache, Heidelberg, Springer, 2012, 1 vol. (XX-275 p.), Understanding complex systems, 978-3-642-28881-4
Περιγραφή
Περίληψη: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
Περιγραφή τεκμηρίου:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783642288821
ISSN:1860-0840
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