
As computational design space exploration methods become more common, designers need increasingly faster ways to accurately explore increasing vaster design spaces. Surrogate models, often constructed with Neural Networks (NN) are statistical approximations of domains that can return accurate enough answers at a fraction of the time needed to run simulation models. However, existing neural network... Read more »