Performance of jump connection neural networks applied to a simplified pattern recognition problem

Authors:
William Douglas;Rick Niess;Lenny Scardino;Marcin Paprzycki
Affiliations:
The University of Southern Mississippi, Hattiesburg, MS;The University of Southern Mississippi, Hattiesburg, MS;The University of Southern Mississippi, Hattiesburg, MS;The University of Southern Mississippi, Hattiesburg, MS
Venue:
Journal of Computing Sciences in Colleges
Year:
2000

Citing 3
Cited 0

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Abstract

In this note we present and discuss results of experiments comparing the performance of jump connection neural network architectures applied to a simplified multifont recognition problem. The experiments have been run for the increasing number of data elements in the training set and for varying number of nodes in the hidden layer.