Comparison of performance of ward systems' neural networks applied to a multifont recognition problem

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

Citing 3
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Abstract

Results of performance comparison of the three Ward Systems proprietary neural network architectures and a simple, three-layer, backpropagation neural network applied to a simplified pattern recognition problem are presented and discussed. The varying parameters are the size of the input data and the number of nodes in the hidden layer slabs.