Highly Symmetric Neural Networks of Hopfield Type (exact results)
arXiv:cond-mat/9804165
Abstract
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.
2 pages, Latex, sumbitted to Conference of Computational Physics, September, 2-5 1998 (Granada, Espana)