Výsledky vyhledávání

Akademický článek

Three-Dimensional Broad Learning Gravity Data Inversion Using Single-Anomaly Training Samples

Autor: Guang-Jing Xu, Qiang Zu, Xiao-Hui Yang, Tao Tao, Peng Han, Qiang Luo, Sixu Han, Zhan-Xiang He

Publikováno v: Applied Sciences, Vol 14, Iss 23, p 11409 (2024)

Gravity data inversion is of critical importance in geophysics, encompassing a range of applications, such as the exploration of geological resources, the identification of geological structures, and the detection of groundwater resources. This study

Externí odkaz: https://doaj.org/article/78ccf1f822eb423d8bb73891b79a1f1d

Zobrazit plný text záznamu

Report

Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem

Autor: Liu, Yun-Yang, Zhao, Xi-Le, Song, Guang-Jing, Zheng, Yu-Bang, Huang, Ting-Zhu

The robust tensor completion (RTC) problem, which aims to reconstruct a low-rank tensor from partially observed tensor contaminated by a sparse tensor, has received increasing attention. In this paper, by leveraging the superior expression of the ful

Externí odkaz: http://arxiv.org/abs/2110.08754

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání