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Vega Corona, Antonio and Andina de la Fuente, Diego and Barron Adame, Jose Miguel and Cortina Januchs, María Guadalupe and Mendoza, Us (2008). Forecasting SO2 Air Pollution in Salamanca, Mexico using an ADALINE. In: "4th Virtual International Conference on Intelligent Production Machines and Systems, IPROMS 2008", 01/07/2008-14/07/2008, Cardiff University, UK. ISBN 978-1-904445-81-4.
Title: | Forecasting SO2 Air Pollution in Salamanca, Mexico using an ADALINE |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Article) |
Event Title: | 4th Virtual International Conference on Intelligent Production Machines and Systems, IPROMS 2008 |
Event Dates: | 01/07/2008-14/07/2008 |
Event Location: | Cardiff University, UK |
Title of Book: | Proceedings on Intelligent Production Machines and Systems |
Date: | 2008 |
ISBN: | 978-1-904445-81-4 |
Subjects: | |
Faculty: | E.T.S.I. Telecomunicación (UPM) |
Department: | Señales, Sistemas y Radiocomunicaciones |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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A comparison between a linear regression model and a Non-linear regressionmodel is presented in this work for forecasting of pollution levels due to SO2 in Salamanca city, Gto. Prediction is performed by means of an Adaptive Linear Neural Network (ADALINE) and a Generalized Regression NeuralNetwork (GRNN). Prediction experiments are realized for 1, 12 and 24 hours in advance, and the results for linear regression have been satisfactory. The performance estimation of both models are determined using the Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Obtained results are compared. The final results indicated that ADALINE outperforms the past approach using GRNN.
Item ID: | 4267 |
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DC Identifier: | https://oa.upm.es/4267/ |
OAI Identifier: | oai:oa.upm.es:4267 |
Official URL: | http://www.iproms.org/og |
Deposited by: | Memoria Investigacion |
Deposited on: | 20 Sep 2010 12:03 |
Last Modified: | 20 Apr 2016 13:33 |