Self-Evolvable Systems [electronic resource] : Machine Learning in Social Media / by Octavian Iordache.
Tipo de material:
TextoSeries Understanding Complex SystemsEditor: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Descripción: XXII, 278 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642288821Trabajos contenidos: SpringerLink (Online service)Tema(s): Engineering | Physics | Engineering | Complexity | Computational Intelligence | Nonlinear DynamicsFormatos físicos adicionales: Sin títuloClasificación CDD: 620 Clasificación LoC:QA76.9.M35Recursos en línea: de clik aquí para ver el libro electrónico 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.
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.
ZDB-2-PHA
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