Neural network design based on decomposition of decision space

The networks considered are multi-layer perceptrons. The method developed by the author describes how points in a classification volume could be separated by using Voronoi polygons and then removing the separation boundaries between polygons of the same type. Such an operation leaves behind a boundary that is necessary to separate the different types of regions. Unfortunately, the separation surface (decision surface) itself provides sufficient information to associate the surface with the network