  In this paper we investigate the ability of a neural network to approximate
algebraic properties associated to lattice simplices. In particular we attempt
to predict the distribution of Hilbert basis elements in the fundamental
parallelepiped, from which we detect the integer decomposition property (IDP).
We give a gentle introduction to neural networks and discuss the results of
this prediction method when scanning very large test sets for examples of IDP
simplices.
