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With all the databases determined and founded, normalization is done to eliminate the numerical discrepancies among diagnostics, and also to map the inputs to an suitable assortment to aid the initialization in the neural community. Based on the success by J.X. Zhu et al.19, the effectiveness of deep neural network is just weakly depending on the n
With the databases identified and established, normalization is executed to reduce the numerical dissimilarities between diagnostics, also to map the inputs to an ideal selection to facilitate the initialization on the neural network. In accordance with the success by J.X. Zhu et al.19, the effectiveness of deep neural community is just weakly depe
Manual article review is required for this article