Fast recognition of real objects by an optimized hetero-associative neural network

URN to cite this document:: urn:nbn:de:bvb:355-epub-268052

Schmitz, H. J. ; Pöppel, G. ; Wünsch, Friedrich ; Krey, Uwe

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Date of publication of this fulltext: 23 Nov 2012 14:01

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Abstract

We have developed and realized a concept which is very well suited for a quick recognition of highly correlated patterns. For a hetero-associative memory we used a minimal optimized output code (index memory). We constructed a tree structure in which the assignment of indices has been optimized by simulated annealing. Thus the algorithm for optimal stability of the learned patterns works most ...