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...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2012. |
| Seri Bilgileri: | Understanding Complex Systems
|
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
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 |
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| 245 | 1 | 0 | |a Self-Evolvable Systems : |b Machine Learning in Social Media |c by Octavian Iordache. |
| 250 | |a 1st ed. 2012. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Understanding Complex Systems |x 1860-0840 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Introduction 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
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| 776 | 0 | |t Self-Evolvable Systems |b Texte imprimé |z 9783642288838 | |
| 776 | 0 | |t Self-Evolvable Systems |b Texte imprimé |z 9783642431494 | |
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