Growing self-organizing networks-Why?

摘要

The reasons to use growing self-organizing networks are investigated. First an overview of several models of this kind is given are they are related to other approaches. Then two examples are presented to illustrate the specific properties and advangages of incremental networks. In each case a non-incremental model is used for comparison pruposes. The first example is pattern classification and compares the supervised growing neural gas model to a conventional radial basis function approach. The second example is data visualization and contrasts the growing grid model and the self-organizing feature map.