Details, Fiction and bihao
Details, Fiction and bihao
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The deep neural network model is designed devoid of thinking about functions with diverse time scales and dimensionality. All diagnostics are resampled to 100 kHz and they are fed to the model instantly.
结束语：比号又叫比值号，也叫比率号，在数学中的作用相当于除号÷。在行文中，冒号的作用一般是提示下文。返回搜狐，查看更多
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Using the databases decided and proven, normalization is performed to reduce the numerical discrepancies between diagnostics, and also to map the inputs to an appropriate array to facilitate the initialization of the neural community. Based on the outcomes by J.X. Zhu et al.19, the general performance of deep neural network is barely weakly dependent on the normalization parameters assuming that all inputs are mapped to acceptable range19. Therefore the normalization system is executed independently for the two tokamaks. As for the two datasets of EAST, the normalization parameters are calculated independently In line with different education sets. The inputs are normalized with the z-rating technique, which ( X _ rm norm =frac X- rm signify (X) rm std (X) ).
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