# Which ANN structure to use?

Let $$\mathcal{S}$$ be the training input data set where each input $$u^i \in \mathcal{S}$$ has $$d$$ features. I want to design a ANN so that the cost function below is minimized (the sum of square of pairwise differences between model outputs) and the given constraint is satisfied, where $$w$$ is ANN model parameter vector.

Question: what kind of ANN is suitable for this purpose?[