December 2005
Intermediate to advanced
592 pages
30h 56m
English
U.S. Mendoza-Camarena, F. Ambriz-Colin, D.M. Arteaga-Jauregui, A. Vega-Corona
Faculty of Electrical, Mechanical and Electronics Engineering, University of Guanajuato, Tampico 912, Salamanca, Gto. Mexico.
This work presents a method to predict Sulphur Dioxide (SO2) concentrations for the city of Salamanca, Gto., based on real data provided by a Monitoring network during the months of December of years 2002, 2003 and 2004. A Generalized Regression Neural Network (GRNN) is used to perform the predictions. The GRNN was trained with the data obtained from years 2002 and 2003, and the data from year 2004 were the test group data. Predictions ...
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