@inbook{4f49f6b5b7764209a054e5ad2debfb54,
title = "Neural approaches to economic modeling",
abstract = "This chapter describes the multi-layered perceptron (MLP), radial basis functions (RBF), and support vector machines (SVM). These techniques are then applied to model inflation by training these networks using the maximum-likelihood method. The results indicated that the SVM gives the best results followed by the MLP and then the RBF. The SVM with an exponential RBF gave the best results.",
author = "Tshilidzi Marwala",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag London 2013.",
year = "2013",
doi = "10.1007/978-1-4471-5010-7_4",
language = "English",
series = "Advanced Information and Knowledge Processing",
publisher = "Springer London",
number = "9781447150091",
pages = "65--81",
booktitle = "Advanced Information and Knowledge Processing",
address = "United Kingdom",
edition = "9781447150091",
}