Missing Data Estimation Using Swarm Intelligence Algorithms from Reduced Dimensions

Collins Achepsah Leke, Tshilidzi Marwala

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we investigate the possibility of reconstructing images from reduced dimensions and using narrow artificial intelligence frameworks. This is aimed at addressing the high execution time drawback witnessed when deep neural network frameworks are used. The lower dimensional data is obtained from the bottleneck layer of the deep autoencoder network; in this case, the number of reduced features is 30. The aim is to observe whether this approach preserves accuracy while minimizing execution time.

Original languageEnglish
Title of host publicationStudies in Big Data
PublisherSpringer Science and Business Media Deutschland GmbH
Pages129-146
Number of pages18
DOIs
Publication statusPublished - 2019

Publication series

NameStudies in Big Data
Volume48
ISSN (Print)2197-6503
ISSN (Electronic)2197-6511

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Engineering (miscellaneous)
  • Computer Science Applications
  • Artificial Intelligence

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