  We investigate the risk of overestimating the performance gain when applying
neural network based receivers in systems with pseudo random bit sequences or
with limited memory depths, resulting in repeated short patterns. We show that
with such sequences, a large artificial gain can be obtained which comes from
pattern prediction rather than predicting or compensating the studied
channel/phenomena.
