Pattern Recognition Using A Neural Network

Abstract
In this paper we introduce a new "neural" network for pattern recognition based on a gradient system. It is not, however, attempted to model any known behavior of biological neurons. This network stores any number of non-binary patterns (as its limit points) and retrieves them by associative recall. The network does not suffer from erroneous limit points. A realization of the network is given, which have heavily interconnected computing units. Finally two network examples are discussed.© (1988) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

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