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支持將錢包檔離線保存，線上用戶端需花費比特幣時，需使用離線錢包簽名，再通過線上用戶端廣播，提高了安全性
There isn't a clear way of manually regulate the qualified LSTM layers to compensate these time-scale improvements. The LSTM layers within the supply model in fact fits the exact same time scale as J-TEXT, but would not match precisely the same time scale as EAST. The results display that the LSTM levels are fixed to enough time scale in J-Textual content when education on J-Textual content and therefore are not well suited for fitting a longer time scale from the EAST tokamak.
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比特幣最需要保護的核心部分是私钥，因為用戶是以私鑰來證明所有權，並以此使用比特幣，存儲私密金鑰的介質也可以稱為錢包，當錢包遺失、損毀時，為比特幣丟失，離線錢包可以是纸钱包、脑钱包、冷钱包、轻量钱包。
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本地保存：个人掌控密钥，安全性更高�?第三方保存：密钥由第三方保存，个人对密钥进行加密。
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50%) will neither exploit the constrained facts from EAST nor the general understanding from J-Textual content. Just one possible explanation is that the EAST discharges are certainly not agent enough as well as the architecture is flooded with J-Textual content facts. Circumstance four is trained with 20 EAST discharges (10 disruptive) from scratch. In order to avoid in excess of-parameterization when schooling, we used L1 and L2 regularization to the model, and adjusted the learning charge plan (see Overfitting dealing with in Procedures). The general performance (BA�? sixty.28%) implies that applying just the confined details from the target area is not really enough for extracting general features of disruption. Case five takes advantage of the pre-properly trained product from J-Textual content right (BA�? 59.44%). Using the resource product along would make the general knowledge about disruption be contaminated by other awareness unique to your supply domain. To conclude, the freeze & good-tune method is able to arrive at the same functionality making use of only 20 discharges While using the whole knowledge baseline, and outperforms all other instances by a large margin. Applying parameter-dependent transfer Understanding method to mix equally the source tokamak product and knowledge in the concentrate on tokamak appropriately might assistance make greater use of knowledge from both of those domains.