Application of the gamma classifier to environmental data prediction

Itzamá López-Yáñez, Cornelio Yáñez-Márquez, Guadalupe De La Luz Sáenz-Morales

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

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.

Original languageEnglish
Pages80-84
Number of pages5
DOIs
StatePublished - 2008
EventProceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008 - Cuernavaca, Morelos, Mexico
Duration: 30 Sep 20083 Oct 2008

Conference

ConferenceProceedings - 5th Meeting of the Electronics, Robotics and Automotive Mechanics Conference 2008, CERMA 2008
Country/TerritoryMexico
CityCuernavaca, Morelos
Period30/09/083/10/08

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