@inbook{f3f506405b4a44a5bee93541d38fbb88,
title = "Missing data approaches to economic modeling: Optimization approach",
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.",
author = "Tshilidzi Marwala",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag London 2013.",
year = "2013",
doi = "10.1007/978-1-4471-5010-7_7",
language = "English",
series = "Advanced Information and Knowledge Processing",
publisher = "Springer London",
number = "9781447150091",
pages = "119--136",
booktitle = "Advanced Information and Knowledge Processing",
address = "United Kingdom",
edition = "9781447150091",
}