On unlearnable problems -or-A model for premature saturation in backpropagation learning

摘要

In this paper we investigate the learning of an unlearnable problem and how this relates to the premature saturation of hidden neurons in error backpropagation learning. General aspects of our model are discussed. A sketch of the derivation of equations for the development of the significant weights in time is given.