Robert Manger
	"Data compression with multilayer perceptrons"

The paper investigates the feasibility of using artificial neural networks
as a tool for data compression. More precisely, the paper measures data
compression capabilities of one particular class of neural networks called
multilayer perceptrons. An outline of a possible ``neural" data compression
method is given. Experiments are presented, where the outlined method has
been simulated by using various data files and differently configured
perceptrons.
The best compression rates obtained in the experiments are listed and
compared
with similar results produced by some other network types, e.g. holographic
neural networks.