Exact Incremental Projection Learning in the Presence of Noise


In many practical situations in neural network learning, training data is supplied one by one. Therefore, it is important to consider to add new training data to neural networks in order to further improve their generalization capability. In this paper, a method of incremental projection learning in the presence of noise is presented. The proposed method… (More)