Missing Data Approaches to Economic Modeling: Optimization Approach

  • Tshilidzi Marwala
Chapter
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

This chapter introduces an auto-associative network with optimization methods for modelling economic data. This resulting architecture is a missing data estimation technique, and this is used to predict the production volume by treating it as a missing variable. The autoassociative network is created using a multi-layered perceptron network, while the optimization techniques which are implemented are particle swarm optimization, genetic algorithms and simulated annealing. The results obtained are then compared.

Keywords

Fermentation Recombination Radar 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  • Tshilidzi Marwala
    • 1
  1. 1.Faculty of Engineering and the Built EnvironmentUniversity of JohannesburgJohannesburgSouth Africa

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