Pattern recognition of respirable dust particles by a back-propagation artificial neural network
Central European journal of public health.
2001 May ;
9 (2) :
95-101.
Language English Country Czech Republic Media print
Document type Journal Article
Persistent link
https://www.medvik.cz/link/pmid11503283
PubMed
11503283
Knihovny.cz E-resources
- MeSH
- Lasers MeSH
- Air Pollutants * MeSH
- Neural Networks, Computer * MeSH
- Dust * MeSH
- Pattern Recognition, Automated * MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Air Pollutants * MeSH
- Dust * MeSH
A back-propagation neural network was used as a pattern recognition tool for LAMMA mass spectral data. Standard EPA source profiles were used as training and test data of the net. The elemental patterns (10 elements) of the sum of 100 mass spectra of fine dust particles were presented to the trained nets and satisfactory recognition (> 50%) was obtained.
