Self-Evolvable Systems: Machine Learning in Social Media
Saved in:
| Format: | Electronic eBook |
|---|---|
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2012
|
| Series: | Understanding Complex Systems
|
| Subjects: | |
| Online Access: | TUM01 UBT01 Volltext |
| Item Description: | 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. |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783642288821 |
| DOI: | 10.1007/978-3-642-28882-1 |
Staff View
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| isbn | 9783642288821 |
| language | English |
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| publishDate | 2012 |
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| series2 | Understanding Complex Systems |
| spelling | Self-Evolvable Systems Machine Learning in Social Media by Octavian Iordache Berlin, Heidelberg Springer Berlin Heidelberg 2012 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Understanding Complex Systems 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. Ingenieurwissenschaften Engineering Physics Complexity Computational Intelligence Nonlinear Dynamics Komplexes System (DE-588)4114261-5 gnd rswk-swf Adaptives System (DE-588)4247928-9 gnd rswk-swf Komplexes System (DE-588)4114261-5 s Adaptives System (DE-588)4247928-9 s 1\p DE-604 Iordache, Octavian Sonstige oth https://doi.org/10.1007/978-3-642-28882-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Self-Evolvable Systems Machine Learning in Social Media Ingenieurwissenschaften Engineering Physics Complexity Computational Intelligence Nonlinear Dynamics Komplexes System (DE-588)4114261-5 gnd Adaptives System (DE-588)4247928-9 gnd |
| subject_GND | (DE-588)4114261-5 (DE-588)4247928-9 |
| title | Self-Evolvable Systems Machine Learning in Social Media |
| title_auth | Self-Evolvable Systems Machine Learning in Social Media |
| title_exact_search | Self-Evolvable Systems Machine Learning in Social Media |
| title_full | Self-Evolvable Systems Machine Learning in Social Media by Octavian Iordache |
| title_fullStr | Self-Evolvable Systems Machine Learning in Social Media by Octavian Iordache |
| title_full_unstemmed | Self-Evolvable Systems Machine Learning in Social Media by Octavian Iordache |
| title_short | Self-Evolvable Systems |
| title_sort | self evolvable systems machine learning in social media |
| title_sub | Machine Learning in Social Media |
| topic | Ingenieurwissenschaften Engineering Physics Complexity Computational Intelligence Nonlinear Dynamics Komplexes System (DE-588)4114261-5 gnd Adaptives System (DE-588)4247928-9 gnd |
| topic_facet | Ingenieurwissenschaften Engineering Physics Complexity Computational Intelligence Nonlinear Dynamics Komplexes System Adaptives System |
| url | https://doi.org/10.1007/978-3-642-28882-1 |
| work_keys_str_mv | AT iordacheoctavian selfevolvablesystemsmachinelearninginsocialmedia |