Learning Systems: From Theory to Practice [electronic resource] /
Contributor(s): Sgurev, Vassil [editor.] | Piuri, Vincenzo [editor.] | Jotsov, Vladimir [editor.] | SpringerLink (Online service).
Series: Studies in Computational Intelligence: 756Publisher: Cham : Springer International Publishing : Imprint: Springer, 2018Edition: 1st ed. 2018.Description: XII, 301 p. | Binding - Card Paper |.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319751818.Subject(s): Computer Engineering
| Computational Intelligence | Artificial IntelligenceDDC classification: 006.3 Online resources: Click here to access eBook in Springer Nature platform. (Within Campus only.)
In:
Springer Nature eBookSummary: By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations in advanced intelligent technologies and systems. From intelligent control and intuitionistic fuzzy quantifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent products and systems.
No physical items for this record
By presenting the latest advances in fuzzy sets and computing with words from around the globe, this book disseminates recent innovations in advanced intelligent technologies and systems. From intelligent control and intuitionistic fuzzy quantifiers to various data science and industrial applications, it includes a wide range of valuable lessons learned and ideas for future intelligent products and systems.
There are no comments for this item.