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Along with the databases decided and proven, normalization is executed to eliminate the numerical distinctions concerning diagnostics, and to map the inputs to an suitable range to aid the initialization with the neural community. Based on the outcomes by J.X. Zhu et al.19, the overall performance of deep neural network is barely weakly depending on the normalization parameters assuming that all inputs are mapped to proper range19. Thus the normalization system is done independently for each tokamaks. As for The 2 datasets of EAST, the normalization parameters are calculated independently In accordance with different coaching sets. The inputs are normalized While using the z-score strategy, which ( X _ rm norm =frac X- rm indicate (X) rm std (X) ).

比特幣的私密金鑰（私鑰，non-public crucial），作用相當於金融卡提款或消費的密碼，用於證明比特幣的所有權。擁有者必須私密金鑰可以給交易訊息（最常見的，花費比特幣的訊息）簽名，以證明訊息的發佈者是相應地址的所有者，沒有私鑰，就不能給訊息簽名，作為不記名貨幣，網路上無法認得所有權的證據，也就不能使用比特幣，交易時以網路會以公鑰確認，掌握私密金鑰就等於掌握其對應地址中存放的比特幣。

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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

Being a conclusion, our benefits on the numerical experiments exhibit that parameter-based mostly transfer Finding out does aid forecast disruptions in foreseeable future tokamak with constrained info, and outperforms other techniques to a big extent. Furthermore, the layers in the ParallelConv1D blocks are effective at extracting general and small-amount capabilities of disruption discharges across distinct tokamaks. The LSTM layers, however, are speculated to extract options with a bigger time scale linked to particular tokamaks specifically and so are fixed Along with the time scale within the tokamak pre-educated. Unique tokamaks differ enormously in resistive diffusion time scale and configuration.

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