Dynamic fuzzy machine learning /
Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field of big data, cloud computing, the Internet of Things, and quantum information. At present, the processing of this kind of data is not very mature. The authors car...
| Главные авторы: | , , |
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| Формат: | Licensed eBooks |
| Язык: | английский |
| Опубликовано: |
Berlin :
De Gruyter,
[2018]
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| Online-ссылка: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1684621 |
Оглавление:
- Intro; Preface; Contents; 1. Dynamic fuzzy machine learning model; 2. Dynamic fuzzy autonomic learning subspace algorithm; 3. Dynamic fuzzy decision tree learning; 4. Concept learning based on dynamic fuzzy sets; 5. Semi-supervised multi-task learning based on dynamic fuzzy sets; 6. Dynamic fuzzy hierarchical relationships; 7. Multi-agent learning model based on dynamic fuzzy logic; 8. Appendix; Index.