Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fu‐Kang Yin"'
Publikováno v:
Meteorological Applications, Vol 29, Iss 5, Pp n/a-n/a (2022)
Abstract In this article, we explored the performance of several fusion strategies for bias correction of precipitation on U‐Net‐based‐models and proposed a simple but efficient hybrid fusion strategy. The geopotential, vertical velocity, speci
Externí odkaz:
https://doaj.org/article/432a63a3e4c748e4bc4df6cb56448037
Publikováno v:
Meteorological Applications, Vol 28, Iss 5, Pp n/a-n/a (2021)
Abstract In this paper, a data‐driven bias correction approach based on deep learning is proposed, which is appropriate for the Yin–He global spectral model (YHGSM) re‐forecasting. The proposed architecture involves four U‐Net‐based network
Externí odkaz:
https://doaj.org/article/0d9c2714f381453c93ac9c25f0f09d2b
Publikováno v:
Meteorological Applications. 29
Publikováno v:
Meteorological Applications, Vol 28, Iss 5, Pp n/a-n/a (2021)
In this paper, a data‐driven bias correction approach based on deep learning is proposed, which is appropriate for the Yin–He global spectral model (YHGSM) re‐forecasting. The proposed architecture involves four U‐Net‐based networks estimat
Publikováno v:
DEStech Transactions on Engineering and Technology Research.
Publikováno v:
International Journal of Applied Physics and Mathematics. :98-102
In this paper, A new scheme, deduced from the Modified Laplace decomposition method (MLDM), is presented to obtain exact solutions for the singular initial value problems (IVPs) of lane-Emden type. Both linear and nonlinear cases are considered. If t
Publikováno v:
International Journal of Applied Physics and Mathematics. :127-131
Numerical methods for solving initial value problems (IVPs) are of fundamental importance for analyzing and controlling dynamic systems. In this paper, we first present a new Legendre wavelets-Picard iteration method (LWPIM) for solving IVPs. Combini