Title :
Application of the Gamma Classifier to Environmental Data Prediction
Author :
Lopez-Yaez, I. ; Yaez-Marquez, C. ; de la Saenz-Morales, G.
Author_Institution :
IPN Centro de Investig. en Comput., Mexico City
fDate :
Sept. 30 2008-Oct. 3 2008
Abstract :
Analysis of environmental data by means of Artificial Intelligence has become a quite active area of scientific research. Some techniques which have found important application in this area are neural networks, genetic algorithms, and other pattern classifier algorithms, such as SVMs. In the current paper, a member of the Associative Approach of pattern recognition of recent proposal is applied to environmental data from Mexico City.
Keywords :
artificial intelligence; data handling; environmental science computing; pattern recognition; Mexico City; SVM; artificial intelligence; associative approach; environmental data prediction; gamma classifier; genetic algorithms; neural networks; pattern classifier algorithms; Artificial intelligence; Artificial neural networks; Automotive engineering; Cities and towns; Data analysis; Monitoring; Pollution measurement; Proposals; Protection; Robots; Envirnmental data; Gamma classifier; Prediction; SIMAT;
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08
Conference_Location :
Morelos
Print_ISBN :
978-0-7695-3320-9
DOI :
10.1109/CERMA.2008.35
