Deep Learning and Missing Data in Engineering Systems

• Main Authors: Leke, Collins Achepsah (Author, http://id.loc.gov/vocabulary/relators/aut), Marwala, Tshilidzi (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Big Data, 48
• Subjects: 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...