A density driven mesh generator guided by a neural network
David Alister Lowther, Derek N. Dyck · IEEE Transactions on Magnetics · 1993
A neural network guided mesh generator is described. The mesh generator uses density information provided by the neural network to determine the size and placement of elements. This system is coupled with an adaptive meshing and solving process, and is shown to have major computational benefits compared with adaptation alone. The novel mesh generator is faster than conventional meshing approaches and allows the solver to take fewer adaptive steps in generating an optimum solution. It provides a method of hiding the meshing process from the user in a totally automatic system.>