Library Of American University Of Madaba
Your cart is empty.
Iordache, Octavian.
Self-Evolvable Systems Machine Learning in Social Media / [electronic resource] : by Octavian Iordache. - XXI, 275 p. online resource. - Understanding Complex Systems, 1860-0832 .
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.
9783642288821
Engineering.
Physics.
Engineering.
Complexity.
Computational Intelligence.
Nonlinear Dynamics.
QA76.9.M35
620
Self-Evolvable Systems Machine Learning in Social Media / [electronic resource] : by Octavian Iordache. - XXI, 275 p. online resource. - Understanding Complex Systems, 1860-0832 .
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.
9783642288821
Engineering.
Physics.
Engineering.
Complexity.
Computational Intelligence.
Nonlinear Dynamics.
QA76.9.M35
620