DocumentCode
285314
Title
Neural network design using Voronoi diagrams: preliminaries
Author
Bose, N.K. ; Garga, A.K.
Author_Institution
Dept. of Electr. & Comput. Eng., Pennsylvania State Univ., University Park, PA, USA
Volume
3
fYear
1992
fDate
7-11 Jun 1992
Firstpage
127
Abstract
A novel approach based on the construction of a Voronoi diagram is proposed to determine the number of layers, the number of neurons in each layer, and their connection weights for a particular implementation of a neural network. The neural network has a multilayer feedforward topology, and is designed to classify patterns in the multidimensional feature space. To illustrate the procedure, an example is given of the classification of patterns that are not linearly separable in feature space
Keywords
computational geometry; feedforward neural nets; pattern recognition; Voronoi diagram; multidimensional feature space; multilayer feedforward topology; neural network design; pattern classification; Artificial neural networks; Computational geometry; Feedforward neural networks; Multi-layer neural network; Multidimensional systems; Network topology; Neural networks; Neurons; Nonlinear equations; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location
Baltimore, MD
Print_ISBN
0-7803-0559-0
Type
conf
DOI
10.1109/IJCNN.1992.227181
Filename
227181
Link To Document