Highly Symmetric Neural Networks of Hopfield Type (exact results)

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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2 pages, Latex, sumbitted to Conference of Computational Physics, September, 2-5 1998 (Granada, Espana)

Scientific paper

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.

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