论文信息 - Comparison of performance of ward systems' neural networks applied to a multifont recognition problem

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

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.

Marcin Paprzycki | Rick Niess | Lenny Scardino | William Douglas

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