Risk identification of power transaction based on PCA-BP neural network

Peng Xie; Zhengtao Jiang; Peng Huang; Lante Li; Jing Ge

doi:10.1117/12.2640380

15 July 2022 Risk identification of power transaction based on PCA-BP neural network

Peng Xie, Zhengtao Jiang, Peng Huang, Lante Li, Jing Ge

Proceedings Volume 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022); 122580P (2022) https://doi.org/10.1117/12.2640380
Event: International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 2022, Qingdao, China

Abstract

GPS technology has the characteristics of high precision, high sampling, real-time, and simultaneous determination of three-dimensional coordinates of points, which can not be compared with other monitoring technologies. It plays a very important role in deformation monitoring. Starting from the composition of GPS positioning system, this paper expounds the three components of GPS positioning system, as well as the association and coordination between each component of the work; then the GPS deformation monitoring mode and several error sources in the monitoring process are introduced. The advantages and disadvantages of GPS technique in deformation monitoring are analyzed and its application trend is predicted. GPS positioning technology is applied in all aspects of our life, creating a lot of social and economic value for us.

Citation Download Citation

Peng Xie, Zhengtao Jiang, Peng Huang, Lante Li, and Jing Ge "Risk identification of power transaction based on PCA-BP neural network", Proc. SPIE 12258, International Conference on Neural Networks, Information, and Communication Engineering (NNICE 2022), 122580P (15 July 2022); https://doi.org/10.1117/12.2640380

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