Statistical analysis of the single-layer backpropagation algorithm. II. MSE and classification performance
For pt.I see ibid., p.583-91, 1993. The analysis of pt.I is extended to the evaluation of the mean-square error and the probability of correct classification. It is shown that the mean-square error and the corresponding performance surface are such that the single-layer perceptron is prevented from correctly classifying with probability one until the weights converge at infinity. >