Abstract
Artificial neural networks methods have been applied to solve many complex problems, in which analytical solutions are unknown and numerical approximations are very expensive to compute. Those methods are still underexplored on the field of topology optimization, where there is a great number of variables (from hundreds of thousands to millions), complex objective functions (which depends…