@inbook{01aed34f1dc34183b0f3be4d6abaa101,
title = "SEARCHING FOR DIVISIA/INFLATION RELATIONSHIPS WITH THE AGGREGATE FEEDFORWARD NEURAL NETWORK",
abstract = "Divisia component data is used in the training of an Aggregate Feedforward Neural Network (AFFNN), a general-purpose connectionist system designed to assist with data mining activities. The neural network is able to learn the money-price relationship, defined as the relationships between the rate of growth of the money supply and inflation. Learned relationships are expressed in terms of an automatically generated series of human-readable and machine-executable rules, shown to meaningfully and accurately describe inflation in terms of the original values of the Divisia component dataset.",
author = "Schmidt, {Vincent A.} and Binner, {Jane M.}",
year = "2004",
month = dec,
day = "1",
doi = "10.1016/S0731-9053(04)19009-9",
language = "English",
isbn = "0762311509",
series = "Advances in Econometrics",
pages = "225--241",
editor = "Jane Binner and Graham Kendall and Shu-Heng Chen",
booktitle = "Applications of Artificial Intelligence in Finance and Economics",
}