Octavian Iordache

Self-Evolvable Systems (eBook, PDF)

Machine Learning in Social Media

• Format: PDF

Produktbeschreibung

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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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 278
• Erscheinungstermin: 5. Juli 2012
• Englisch
• ISBN-13: 9783642288821
• Artikelnr.: 44126647

Inhaltsangabe

From the content: Introduction.- Methodological resources.- Conventional PSM frames.- New PSM frames.- Mixing in Chemical Reactors.- Compartmental Systems.- Turbulent Mixing.- Entropy.- Formal concept analysis.- Existential graphs.