DocumentCode
2046317
Title
Identification of contaminating particles in air using artificial neural networks
Author
De Souza, Paulo A., Jr. ; Rodrigues, O.D. ; Morimoto, T. ; Garg, V.K. ; Nomura, K.
Author_Institution
Dept. de Fisica, Univ. Federal do Espirito Santo, Brazil
Volume
1
fYear
1996
fDate
18-21 Aug 1996
Firstpage
491
Abstract
The present investigation consists of an application of Artificial Neural Networks (ANN) that were trained with the data from several techniques for the identification of particulate matter in atmospheric aerosols in the metropolitan region of Vitoria (MRV), ES, Brazil
Keywords
aerosols; air pollution measurement; environmental science computing; identification; learning (artificial intelligence); neural nets; Brazil; Vitoria; air; artificial neural networks; atmospheric aerosols; contaminating particles identification; counterpropagation networks; metropolitan region; Artificial neural networks; Crystallization; Filters; Intelligent networks; Iron; Laboratories; Magnetic field measurement; Magnetic separation; Materials science and technology; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location
Ames, IA
Print_ISBN
0-7803-3636-4
Type
conf
DOI
10.1109/MWSCAS.1996.594207
Filename
594207
Link To Document