Li, Q.; Zhai, Z.; Li, Q.; Wu, L.; Bao, L.; Sun, H.
Improved Bathymetry in the South China Sea from Multisource Gravity Field Elements Using Fully Connected Neural Network. J. Mar. Sci. Eng. 2023, 11, 1345.
https://doi.org/10.3390/jmse11071345
AMA Style
Li Q, Zhai Z, Li Q, Wu L, Bao L, Sun H.
Improved Bathymetry in the South China Sea from Multisource Gravity Field Elements Using Fully Connected Neural Network. Journal of Marine Science and Engineering. 2023; 11(7):1345.
https://doi.org/10.3390/jmse11071345
Chicago/Turabian Style
Li, Qianqian, Zhenhe Zhai, Qi Li, Lin Wu, Lifeng Bao, and Heping Sun.
2023. "Improved Bathymetry in the South China Sea from Multisource Gravity Field Elements Using Fully Connected Neural Network" Journal of Marine Science and Engineering 11, no. 7: 1345.
https://doi.org/10.3390/jmse11071345
APA Style
Li, Q., Zhai, Z., Li, Q., Wu, L., Bao, L., & Sun, H.
(2023). Improved Bathymetry in the South China Sea from Multisource Gravity Field Elements Using Fully Connected Neural Network. Journal of Marine Science and Engineering, 11(7), 1345.
https://doi.org/10.3390/jmse11071345