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...
Gardado en:
| Autor Principal: | |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edición: | 1st ed. 2012. |
| Series: | Understanding Complex Systems
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| Acceso en liña: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
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 |
Table des matières:
- 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