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

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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Bibliographic Details
Main Authors: Jiachen Yang, Lin Liu, Linfeng Zhang, Gen Li, Zhonghao Sun, Houbing Song
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sensors
Subjects:
pycnocline
kernel support vector machine
machine learning
classification
prediction
Online Access:https://www.mdpi.com/1424-8220/19/7/1562

Internet

https://www.mdpi.com/1424-8220/19/7/1562

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