@inbook{62fed1a9e5494c9581ba2bfc519e875c,
title = "Multi-layer perceptron and radial basis function for modeling interstate Conflict",
abstract = "This chapter introduces and then compares the multi-layer perceptron neural network to the radial basis function neural network to help understand and predict interstate conflict. These two techniques are described in detail and justified with a review of relevant literature and they are implemented to interstate conflict. The results obtained from the implementation of these techniques demonstrate that the multi-layer perceptron neural network is better at predicting interstate conflict than the radial basis function network. This is mainly due to the cross-coupled chartacteristics of the multi-layer perceptron{\textquoteright}s network compared to the radial basis function network.",
author = "Tshilidzi Marwala and Monica Lagazio",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag London Limited 2011.",
year = "2011",
doi = "10.1007/978-0-85729-790-7_3",
language = "English",
series = "Advanced Information and Knowledge Processing",
publisher = "Springer London",
number = "9780857297891",
pages = "43--64",
booktitle = "Advanced Information and Knowledge Processing",
address = "United Kingdom",
edition = "9780857297891",
}