Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Xinying Zhong"'
Publikováno v:
Proceedings of 2018 Chinese Intelligent Systems Conference ISBN: 9789811322877
The data in industrial processes have the features of non-linear and non-Gaussian. In order to enhance the accuracy of fault detection for industrial processes, and to reduce the calculation time consumption, a method is proposed to combine the joint
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d24471946c50544cf30d703a59f103a8
https://doi.org/10.1007/978-981-13-2288-4_20
https://doi.org/10.1007/978-981-13-2288-4_20
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 237:022015
The observation data from the CORS stations in Nanning, Wuzhou and Baise were processed with GAMIT software in this paper, and the accuracy and reliability of CORS data inversion results were verified with the help of Inverse Distance Weighted (IDW)
Autor:
Yintao Liu, Hongwei Xu, Changzeng Tang, Conglin Zhou, Shihua Tang, Feida Li, Qing Huang, Xinying Zhong
Publikováno v:
SPIE Proceedings.
Combines the wavelet analysis and neural network, this paper will be processed the data and the traditional BP neural network and kalman filter are analyzed and compared. First of all to obtain data of dam deformation wavelet denoising, excluding the
Publikováno v:
SPIE Proceedings.
In the project of upgrading the Guangxi CORS(GXCORS) Beidou Ground-Based Augmentation System, Guangxi Bureau of Surveying, Mapping and Geoinformation, had completed the examination for the instrument of multiple producers about the Compass ground-bas
Publikováno v:
IOP Conference Series: Earth & Environmental Science; Mar2019, Vol. 237 Issue 2, p1-1, 1p