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
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;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.594207
