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

fYear

2008

fDate

Sept. 30 2008-Oct. 3 2008

Firstpage

80

Lastpage

84

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Robotics and Automotive Mechanics Conference, 2008. CERMA '08

Conference_Location

Morelos

Print_ISBN

978-0-7695-3320-9

Type

conf

DOI

10.1109/CERMA.2008.35

Filename

4641051