TY - GEN
T1 - Analysis of leading economic indicator data and gross domestic product data using neural network methods
AU - Tirados, Edward
AU - Jenq, John
PY - 2008
Y1 - 2008
N2 - In this report, Leading Economic Indicator (LEI) data and Gross Domestic Product (GDP) data have been analyzed to determine if changes in the ten indicators can be used to predict changes in GDP. Three neural network methods and one statistical method were used to complete the analysis. For this project, the intent was to use multiple regression and backpropagation to develop correlations in which LEI values are used to predict the GDP change in the following quarter. Alternatively, Kohonen's self-organizing map and hierarchical clustering were used to group months of LEI data into clusters to determine if months in a cluster (and thus months with similar LEI values) also have similar changes in GDP.
AB - In this report, Leading Economic Indicator (LEI) data and Gross Domestic Product (GDP) data have been analyzed to determine if changes in the ten indicators can be used to predict changes in GDP. Three neural network methods and one statistical method were used to complete the analysis. For this project, the intent was to use multiple regression and backpropagation to develop correlations in which LEI values are used to predict the GDP change in the following quarter. Alternatively, Kohonen's self-organizing map and hierarchical clustering were used to group months of LEI data into clusters to determine if months in a cluster (and thus months with similar LEI values) also have similar changes in GDP.
UR - http://www.scopus.com/inward/record.url?scp=84893179824&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84893179824
SN - 1934272442
SN - 9781934272442
T3 - IMETI 2008 - International Multi-Conference on Engineering and Technological Innovation, Proceedings
SP - 164
EP - 169
BT - IMETI 2008 - International Multi-Conference on Engineering and Technological Innovation, Proceedings
T2 - International Multi-Conference on Engineering and Technological Innovation, IMETI 2008
Y2 - 29 June 2008 through 2 July 2008
ER -