Prediction of Marine Pycnocline Based on Kernel Support Vector Machine and Convex Optimization Technology

With the explosive growth of ocean data, it is of great significance to use ocean observation data to analyze ocean pycnocline data in military field. However, due to natural factors, most of the time the ocean hydrological data is not complete. In this case, predicting the ocean hydrological data b...

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Detalles Bibliográficos
Autores principales: Yang, Jiachen, Liu, Lin, Zhang, Linfeng, Li, Gen, Sun, Zhonghao, Song, Houbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479887/
https://www.ncbi.nlm.nih.gov/pubmed/30935145
http://dx.doi.org/10.3390/s19071562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6479887/
https://www.ncbi.nlm.nih.gov/pubmed/30935145
http://dx.doi.org/10.3390/s19071562

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