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...
| Published in: | Springer eBooks |
|---|---|
| Main Author: | |
| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
|
| Series: | Understanding Complex Systems,
|
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-3-642-28882-1 Перейти в каталог НБ ТГУ |
Table of 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.