Source: Proceedings. Conference titles: International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Processes. Unidade: IAG
Assunto: MICROMETEOROLOGIA
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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: 25 set. 2024.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 2024 set. 25 ]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 2024 set. 25 ]
