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...

Ful tanımlama

Detaylı Bibliyografya
Asıl Yazarlar: Leke, Collins Achepsah (Yazar), Marwala, Tshilidzi (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Big Data, 48
Konular:
Computational intelligence.
Big data.
Artificial intelligence.
Computational Intelligence.
Big Data.
Artificial Intelligence.
Online Erişim:Full-text access
İçindekiler:
  • 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.

Benzer Materyaller