A choosing method of training sets which prevent over-learning
Kazutaka Yamasaki, H. Ogawa · 1994
We discuss the over-learning problem for feedforward neural networks. We have previously given the necessary and sufficient conditions for causing over-learning. In this paper we discuss, based on these conditions, a method for choosing the training sets. As an example, we give a method for choosing the training sets so that the memorization learning does not cause Wiener-over-learning.>