Part of Advances in Neural Information Processing Systems 8 (NIPS 1995)
Serguei Semenov, Irina Shuvalova
In this paper we consider probabilities of different asymptotics of convergent unlearning algorithm for the Hopfield-type neural net(cid:173) work (Plakhov & Semenov, 1994) treating the case of unbiased random patterns. We show also that failed unlearning results in total memory breakdown.