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Short-term rainfall forecast model based on the improved BP–NN algorithm
The existing methods have been used the Zenith Total Delay (ZTD) or Precipitable Water
Vapor (PWV) derived from Global Navigation Satellite System (GNSS) for rainfall …
Vapor (PWV) derived from Global Navigation Satellite System (GNSS) for rainfall …
A neural network model for predicting weighted mean temperature
M Ding - Journal of Geodesy, 2018 - Springer
Water vapor is an important element of the Earth's atmosphere, and most of it concentrates
at the bottom of the troposphere. Knowledge of the water vapor measured by Global …
at the bottom of the troposphere. Knowledge of the water vapor measured by Global …
Regional Zenith Tropospheric Delay Modeling Based on Least Squares Support Vector Machine Using GNSS and ERA5 Data
The meteorological reanalysis data has been widely applied to derive zenith tropospheric
delay (ZTD) with a high spatial and temporal resolution. With the rapid development of …
delay (ZTD) with a high spatial and temporal resolution. With the rapid development of …
Develo** a new combined model of zenith wet delay by using neural network
M Ding - Advances in Space Research, 2022 - Elsevier
The motivation of this research is to develop a more accurate global empirical model of
zenith wet delay (ZWD) based on a neural network model, which was carried out by …
zenith wet delay (ZWD) based on a neural network model, which was carried out by …
Prediction of Zenith tropospheric delay in GNSS observations using support vector regression
Modelling of tropospheric delay has a crucial place in the Global Navigation Satellite System
(GNSS) as well as atmospheric and space research. Until now, many different modelling put …
(GNSS) as well as atmospheric and space research. Until now, many different modelling put …
Construction of a regional precise tropospheric delay model based on improved BP neural network
Using the neural network algorithm to excavate massive data has become a trend of
technological development. Zenith tropospheric delay of satellite signal is modeled in this …
technological development. Zenith tropospheric delay of satellite signal is modeled in this …
[HTML][HTML] A new zenith hydrostatic delay model for real-time retrievals of GNSS-PWV
The quality of the zenith hydrostatic delay (ZHD) could significantly affect the accuracy of the
zenith wet delay (ZWD) of the Global Navigation Satellite System (GNSS) signal, and from …
zenith wet delay (ZWD) of the Global Navigation Satellite System (GNSS) signal, and from …
Research on regional zenith tropospheric delay based on neural network technology
DY Zheng, WS Hu, J Wang, MC Zhu - Survey review, 2015 - Taylor & Francis
Tropospheric delay is a primary error source in earth observations and a variety of radio
navigation technologies. However, the main problem still present is that not all strategic …
navigation technologies. However, the main problem still present is that not all strategic …
[HTML][HTML] Adaptive neuro fuzzy inference system for predicting sub-daily Zenith Wet Delay
In recent years, the focus of tropospheric studies has evolved to GNSS meteorology and
weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the …
weather forecasting. The Zenith Wet Delay (ZWD), which might be assembled to the …
[HTML][HTML] 基于改进的 BP 神经网络构建区域精密对流层延迟模型
肖恭伟， 欧吉坤， 刘国林， 张红星 - 地球物理学报, 2018 - html.rhhz.net
利用神经网络算法挖掘海量数据的规律已成为科技发展的一种趋势, 本文针对卫星信号的天顶
对流层延迟进行建模. 对流层延迟是影响卫星定位精度的重要因素之一, 建立精密区域对流层 …
对流层延迟进行建模. 对流层延迟是影响卫星定位精度的重要因素之一, 建立精密区域对流层 …