NDLI: The humidity retrievals using BP neural network algorithm based on mexihat or morlet wavelet function in clear-sky

Content Provider	IEEE Xplore Digital Library
Author	He Jieying Zhang Shengwei Huang Yingzhu Zhang Yu Sun Fenglin
Copyright Year	2010
Description	Author affiliation: Center for space science and applied research, Chinese academy of sciences, Beijing, 100190, China (He Jieying; Zhang Shengwei; Huang Yingzhu; Zhang Yu; Sun Fenglin)
Abstract	The paper presents three algorithms to retrieve the humidity profiles from the observing datasets of FENGYUN-3A (FY-3A) satellite microwave humidity sensor. Compared to widely used algorithm—BP artificial neural network (BP-ANN), the algorithms of ANN based on morelet and mexihat function can avoid the conditions of easily getting stuck in local minima and reaching convergence with long time. Especially, the BP-ANN with mexihat function can decrease the training time and improve the humidity retrievals.
Starting Page	502
Ending Page	504
File Size	532416
Page Count	3
File Format	PDF
ISBN	9781424469062
e-ISBN	9781424469086
DOI	10.1109/ISAPE.2010.5696512
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Artificial neural networks Helium Noise mexihat wavelet function microwave humidity sensor back-propagation neural network humidity profile morlet wavelet function
Content Type	Text
Resource Type	Article

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The humidity retrievals using BP neural network algorithm based on mexihat or morlet wavelet function in clear-sky