The Use of Neural Networks in Identifying Error Sources in Satellite-Derived Tropical SST Estimates

An neural network model of data mining is used to identify error sources in satellite-derived tropical sea surface temperature (SST) estimates from thermal infrared sensors onboard the Geostationary Operational Environmental Satellite (GOES). By using the Back Propagation Network (BPN) algorithm, it...

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Detalles Bibliográficos
Autores principales: Lee, Yung-Hsiang, Ho, Chung-Ru, Su, Feng-Chun, Kuo, Nan-Jung, Cheng, Yu-Hsin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231724/
https://www.ncbi.nlm.nih.gov/pubmed/22164030
http://dx.doi.org/10.3390/s110807530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231724/
https://www.ncbi.nlm.nih.gov/pubmed/22164030
http://dx.doi.org/10.3390/s110807530

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