Highly Symmetric Neural Networks of Hopfield Type (exact results)
A set of fixed points of the Hopfield type neural network is under investigation. Its connection matrix is constructed with regard to the Hebb rule from a highly symmetric set of the memorized patterns. Depending on the external parameter the analytic description of the fixed points set has been obtained.
cond-mat.dis-nn↗