Improving the Counterpropagation network performances

摘要

This paper deals with the problem of how input data normalization can affect the performances of the Counterpropagtion neural network. In the following, an example drawn from the landcover classification of remotely sensed images is presented and a solution, based on the Decorrelation Stretching technique, is proposed.