Recurrent network structure for computing quasi-inverses of the sierpiński space-filling curves

Abstract

This paper deals with the design of the recurrent neural network structure approximating the quasi-inverses of the multi-dimensional Sierpiński space-filling curves. The network consists of two subsequent recurrent layers. The network structure shows that computing the quasi- inverse of the Sierpiński space-filling curve can be performed massively parallel.