  Neuron models of associative memory provide a new and prospective technology
for reliable date storage and patterns recognition. However, even when the
patterns are uncorrelated, the efficiency of most known models of associative
memory is low. We developed a new version of associative memory with record
characteristics of its storage capacity and noise immunity, which, in addition,
is effective when recognizing correlated patterns.
