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On The Influence of Random Seeds Evaluation Range in Generating a Combination of Backpropagation Neural Networks - USD Repository

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Figure. 1. An example of a backpropagation neural network with two hidden layers.
Figure. 2. A character recognition system.
Figure. 4. Feature extraction steps.
TABLE I. SORTING OF (A) TRAINING RESULTS OF 5 NEURAL NETWORKS THAT TRAINED USING RANDOM SEEDS EVALUATION RANGE 1 TO 5; (B) (A) BASED ON RECOGNITION RATE IN DESCENDING MANNER
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On The Influence of Random Seeds Evaluation Range in Generating a Combination of Backpropagation Neural Networks - USD Repository

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