Deep Learning and Missing Data in Engineering Systems

• 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: Computational intelligence.; Big data.; Artificial intelligence.; Computational Intelligence.; Big Data.; Artificial Intelligence.

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...

Πίνακας περιεχομένων:

• Introduction to Missing Data Estimation
• Introduction to Deep Learning
• Missing Data Estimation Using Bat Algorithm
• Missing Data Estimation Using Cuckoo Search Algorithm
• Missing Data Estimation Using Firefly Algorithm
• Missing Data Estimation Using Ant Colony Optimization Algorithm
• Missing Data Estimation Using Ant-Lion Optimizer Algorithm
• Missing Data Estimation Using Invasive Weed Optimization Algorithm
• Missing Data Estimation Using Swarm Intelligence Algorithms from Reduced Dimensions
• Missing Data Estimation Using Swarm Intelligence Algorithms: Deep Learning Framework Analysis
• Conclusion.