Deep Learning and Missing Data in Engineering Systems
Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems. The missing data estimation processes proposed in the book can be applied in image recognition and reconstruction. To facilitate the imputa...
Κύριοι συγγραφείς: | Leke, Collins Achepsah (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Marwala, Tshilidzi (http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Έκδοση: | 1st ed. 2019. |
Σειρά: | Studies in Big Data,
48 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Big Data and Smart Digital Environment
Έκδοση: (2019) -
Cloud Computing for Optimization: Foundations, Applications, and Challenges
Έκδοση: (2018) -
Nonparametric Kernel Density Estimation and Its Computational Aspects
ανά: Gramacki, Artur, κ.ά.
Έκδοση: (2018) -
Quantum Computing:An Environment for Intelligent Large Scale Real Application
Έκδοση: (2018) -
Advances in Intelligent Networking and Collaborative Systems The 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017) /
Έκδοση: (2018)