1 option
Self-evolvable systems : machine learning in social media / Octavian Iordache.
Springer Nature - Springer Physics and Astronomy eBooks 2012 English International Available online
View online- Format:
- Book
- Author/Creator:
- Iordache, Octavian.
- Series:
- Understanding Complex Systems, 1860-0832
- Understanding complex systems, 1860-0832
- Springer complexity
- Language:
- English
- Subjects (All):
- System theory.
- Machine learning.
- Social media.
- Self-organizing systems.
- Physical Description:
- 1 online resource (XXII, 278 p.)
- Edition:
- 1st ed. 2012.
- Place of Publication:
- Heidelberg ; New York : Springer, c2012.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references and index.
- ISBN:
- 3-642-28882-0
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.