Neural network design using Voronoi diagrams.
A novel approach is proposed which determines the number of layers, the number of neurons in each layer, and their connection weights for a particular implementation of a neural network, with the multilayer feedforward topology, designed to classify patterns in the multidimensional feature space. The approach is based on construction of a Voronoi diagram over the set of points representing patterns in feature space and this finds added usefulness in deriving alternate neural network structures for realizing the desired pattern classification.
Bose
N K
NK
Dept. of Electr. and Comput. Eng., Pennsylvania State Univ., University Park, PA.
Garga
A K
AK