Tijsseling, Adriaan G. - 2018
In this paper we propose a neural network architecture that is capable of continuous learning multiple, possibly overlapping, arbitrary input sequences relatively quickly, autonomously and online. The architecture of this network has been constructed according to design principles derived from...