Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Pinchao Meng"'
Autor:
Kun Wang, Peng Wang, Zhengang Jiang, Lu Wang, Linhua Zhou, Dequan Qi, Weishi Yin, Pinchao Meng
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 12, Pp 21692-21716 (2023)
Due to its immune evasion capability, the SARS-CoV-2 Omicron variant was declared a variant of concern by the World Health Organization. The spread of Omicron in Changchun (i.e., the capital of Jilin province in northeast of China) during the spring
Externí odkaz:
https://doaj.org/article/9c8095190cc446cdadf9d3190a4314d3
Publikováno v:
Electronic Research Archive, Vol 30, Iss 1, Pp 257-271 (2022)
The core of the demonstration of this paper is to interpret the forward propagation process of machine learning as a parameter estimation problem of nonlinear dynamical systems. This process is to establish a connection between the Recurrent Neural N
Externí odkaz:
https://doaj.org/article/94755c7da465488ba9532a4f08bfbd08
Publikováno v:
Universe, Vol 9, Iss 3, p 148 (2023)
Aiming at the inverse source problem of an elastic wave, a dual-driver solver is considered to reconstruct the point sources. In this way, the number, location, and magnitude of the point sources can be reconstructed from far-field measurement data.
Externí odkaz:
https://doaj.org/article/6750fed6becb4dbab6453a4677b3b843
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 3, Pp 1451-1462 (2020)
This paper explores the inverse scattering problem that reconstructs the obstacle shape with far-field information in the acoustic environment. Taking the planar wave as the incident wave, the authors put forward a shape reconstruction method for an
Externí odkaz:
https://doaj.org/article/703fc5ffbfb5410c959a76870ed447f7
Publikováno v:
Symmetry, Vol 15, Iss 1, p 119 (2023)
The direct and inverse scattering problems are a type of classical problem with symmetry. Numerical methods combined with machine learning are continuously being developed, and obtain good results in obstacle inversion problems. In this paper, we con
Externí odkaz:
https://doaj.org/article/79698cdff41e421388955312becb90dd
Publikováno v:
Advances in Applied Mathematics and Mechanics. 15:984-1000
Publikováno v:
Communications in Computational Physics. 31:869-892
Publikováno v:
Journal of Computational and Applied Mathematics. 421:114842
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 3, Pp 1451-1462 (2020)
This paper explores the inverse scattering problem that reconstructs the obstacle shape with far-field information in the acoustic environment. Taking the planar wave as the incident wave, the authors put forward a shape reconstruction method for an
Publikováno v:
Electronic Research Archive. 28:1123-1142
This paper proposes a near-field shape neural network (NSNN) to determine the shape of a sound-soft cavity based on a single source and several measurements placed on a curve inside the cavity. The NSNN employs the near-field measurements as input, a