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...

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Bibliographic Details
Main Authors: Leke, Collins Achepsah (Author), Marwala, Tshilidzi (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 48
Subjects:
Computational intelligence.
Big data.
Artificial intelligence.
Computational Intelligence.
Big Data.
Artificial Intelligence.
Online Access:Full-text access
Table of Contents:
  • 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.

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