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Performance Analysis and comparison of Recurrent Network for Pattern Storage and Recalling of Static Images

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Figure

Fig 1: Architecture of Binary Hopfield neural network
Fig 2: Static images of 10 Greek symbols.
Fig 4: Regression line preprocessed from ED method. (a). For original image, (b). For 15 % error image, (c).
Fig 5: Regression line preprocessed from FFT method. (a). For original image , (b). For 15 % error image, (c.)for 30 % error image, (d)
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