Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction (2005)
- Authors:
- USP affiliated authors: OLIVEIRA, AMAURI PEREIRA DE - IAG ; SOARES, JACYRA RAMOS - IAG
- Unidade: IAG
- Assunto: MICROMETEOROLOGIA
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Processes
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ABNT
MLAKAR, Primoz et al. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. 2005, Anais.. Crete: Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo, 2005. . Acesso em: 26 jan. 2026. -
APA
Mlakar, P., Boznar, M. Z., Oliveira, A. P., & Soares, J. R. (2005). Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. In Proceedings. Crete: Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidade de São Paulo. -
NLM
Mlakar P, Boznar MZ, Oliveira AP, Soares JR. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. Proceedings. 2005 ;[citado 2026 jan. 26 ] -
Vancouver
Mlakar P, Boznar MZ, Oliveira AP, Soares JR. Artificial neural networks as a supporting tool for solving meteorological and air quality measurement/modeling problems: an application for long time series of long wave measurement correction. Proceedings. 2005 ;[citado 2026 jan. 26 ] - Seasonal evolution of the surface radiation balance in the city of São Paulo
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