The Asymptotic Optimization of the Pre-edited ANN Classifier

The generalization problem of an ANN classifier with unlimited size of training sample, namely asymptotic optimization in probability, is discussed in this paper. As an improved ANN network model, the pre-edited ANN classifier shows better practical performance than the standard one. However, no related theoretical research has been conducted on it. To provide a theoretical support for the pre-edited ANN classifier, the asymptotic optimization is studied in this paper. Furthermore, a simulation is presented to provide an experimental support for our theoretical work.