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...
| Опубликовано в: : | Springer eBooks |
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| Главный автор: | |
| Соавтор: | |
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Серии: | Understanding Complex Systems,
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| Предметы: | |
| Online-ссылка: | http://dx.doi.org/10.1007/978-3-642-28882-1 Перейти в каталог НБ ТГУ |
Оглавление:
- 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.