Deep Learning and Missing Data in Engineering Systems

by Tshilidzi Marwala and Collins Achepsah Leke

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 imputation of missing data, several artificial intelligence approaches are presented, including: deep autoencoder neural networks;deep denoising autoencoder...

• Format: Hardcover
• Language: English
• ISBN: 3030011798
• ISBN13: 9783030011796
• Release Date: January 2019
• Publisher: Springer
• Length: 179 Pages
• Weight: 1.00 lbs.
• Dimensions: 0.6" x 8.8" x 9.4"