@inproceedings{6550a78313b646c5a0b20c0fa70ff5f1,
title = "Analyzing MSI rules for the USA extracted from a feedforward neural network",
abstract = "This paper introduces a mechanism for generating a series of rules that characterize the money-price relationship for the USA, defined as the relationship between the rate of growth of the money supply and inflation. Monetary Services Indicator (MSI) component data is used to train a selection of candidate feedforward neural networks. The selected network is mined for rules, expressed in human-readable and machine-executable form. The rule and network accuracy are compared, and expert commentary is made on the readability and reliability of the extracted rule set. The ultimate goal of this research is to produce rules that meaningfully and accurately describe inflation in terms of the MSI component dataset.",
keywords = "Data mining, Inflation, MSI, Neural network, Rule generation",
author = "Schmidt, {Vincent A.} and Binner, {Jane M.}",
year = "2007",
language = "English",
isbn = "9781601320254",
series = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
pages = "265--271",
booktitle = "Proceedings of the 2007 International Conference on Artificial Intelligence, ICAI 2007",
note = "2007 International Conference on Artificial Intelligence, ICAI 2007 ; Conference date: 25-06-2007 Through 28-06-2007",
}