Neural Networks With Cellular Atrophy For Geometric Database Classifications

Document Type

Conference Proceeding

Publication Date



Computing Sciences and Computer Engineering


In this paper we examine the use of geometric modeling in grouping and classification. A neural network approach is suggested to combine the completeness of information provided by a geometric modeler with the uncertainty required in the grouping process. The utilization of highly connectionist systems in such an environment is investigated. The advantages and shortcomings of these systems are discussed. The impact of cellular atrophy, as observed in biological systems, on highly connectionist systems is proposed. The effect of atrophy criterion on systems' size and efficiency is examined.

Publication Title

Proceedings Volume 2568, Neural, Morphological, and Stochastic Methods In Image and Signal Processing