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    Significant Wave Height Prediction with the CRBM-DBN Model 

    Source: Journal of Atmospheric and Oceanic Technology:;2019:;volume 036:;issue 003:;page 333
    Author(s): Zhang, Xining; Dai, Hao
    Publisher: American Meteorological Society
    Abstract: In recent years, deep learning technology has been gradually used for time series data prediction in various fields. In this paper, the restricted Boltzmann machine (RBM) in the classical deep belief network (DBN) is ...
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    Assessment of HF Radar in Mapping Surface Currents under Different Sea States 

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 008:;page 1403
    Author(s): Wei, Guomei;He, Zhigang;Xie, Yanshuang;Shang, Shaoping;Dai, Hao;Wu, Jingyu;Liu, Ke;Lin, Rui;Wan, Yan;Lin, Hang;Chen, Jinrui;Li, Yan
    Publisher: American Meteorological Society
    Abstract: Two Ocean State Monitoring and Analyzing Radar (OSMAR071) (7.8 MHz) high-frequency (HF) radars and four moored ADCPs were operated concurrently in the southwestern Taiwan Strait during January–March 2013. Qualitative and ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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