With the database established and recognized, normalization is performed to reduce the numerical variations involving diagnostics, and to map the inputs to an correct range to facilitate the initialization on the neural network. Based on the final results by J.X. Zhu et al.19, the general performance of deep neural network is simply weakly dependen
Using the database established and proven, normalization is executed to do away with the numerical differences involving diagnostics, also to map the inputs to an appropriate array to aid the initialization in the neural community. According to the effects by J.X. Zhu et al.19, the functionality of deep neural network is just weakly dependent on th
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