Automatic mesh generation by the let-it-grow neural network
S Alfonzetti, S Coco, S Cavalieri… - IEEE transactions on …, 1996 - ieeexplore.ieee.org
IEEE transactions on magnetics, 1996•ieeexplore.ieee.org
An automatic mesh generator is described based on a let-it-grow neural network. Starting
from a rough mesh of triangles with a small number of nodes, the neural algorithm increases
the number of nodes until a user-selected value is reached. The node growth is driven by a
predefined probability density function. Several modifications to the original let-it-grow
algorithm were made in order to save the boundary of the domain and to take the mesh
quality into account. The study is of interest for magnetic devices.
from a rough mesh of triangles with a small number of nodes, the neural algorithm increases
the number of nodes until a user-selected value is reached. The node growth is driven by a
predefined probability density function. Several modifications to the original let-it-grow
algorithm were made in order to save the boundary of the domain and to take the mesh
quality into account. The study is of interest for magnetic devices.
An automatic mesh generator is described based on a let-it-grow neural network. Starting from a rough mesh of triangles with a small number of nodes, the neural algorithm increases the number of nodes until a user-selected value is reached. The node growth is driven by a predefined probability density function. Several modifications to the original let-it-grow algorithm were made in order to save the boundary of the domain and to take the mesh quality into account. The study is of interest for magnetic devices.
ieeexplore.ieee.org
以上显示的是最相近的搜索结果。 查看全部搜索结果