The humidity retrievals using BP neural network algorithm based on mexihat or morlet wavelet function in clear-sky
- Resource Type
- Conference
- Authors
- He, Jieying; Zhang, Shengwei; Huang, Yingzhu; Zhang Yu; Sun, Fenglin
- Source
- Proceedings of the 9th International Symposium on Antennas, Propagation and EM Theory Antennas Propagation and EM Theory (ISAPE), 2010 9th International Symposium on. :502-504 Nov, 2010
- Subject
- Fields, Waves and Electromagnetics
Computing and Processing
Artificial neural networks
Helium
Noise
microwave humidity sensor
back-propagation neural network
humidity profile
morlet wavelet function
mexihat wavelet function
- Language
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.