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在这一过程中,參與處理區塊的用戶端可以得到一定量新發行的比特幣,以及相關的交易手續費。為了得到這些新產生的比特幣,參與處理區塊的使用者端需要付出大量的時間和計算力(為此社會有專業挖礦機替代電腦等其他低配的網路設備),這個過程非常類似於開採礦業資源,因此中本聰將資料處理者命名為“礦工”,將資料處理活動稱之為“挖礦”。這些新產生出來的比特幣可以報償系統中的資料處理者,他們的計算工作為比特幣對等網路的正常運作提供保障。
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Attribute engineering may well benefit from an excellent broader area know-how, which isn't certain to disruption prediction duties and will not need knowledge of disruptions. However, facts-driven approaches discover in the vast amount of knowledge accrued over the years and have achieved fantastic effectiveness, but lack interpretability12,thirteen,fourteen,fifteen,16,seventeen,18,19,20. Both of those methods benefit from the opposite: rule-based procedures speed up the calculation by surrogate styles, whilst information-pushed solutions gain from area knowledge When picking input signals and developing the product. At present, equally ways will need sufficient information in the concentrate on tokamak for teaching the predictors in advance of They may be used. The vast majority of other approaches published in the literature target predicting disruptions specifically for just one machine and absence generalization ability. Considering that unmitigated disruptions of the large-general performance discharge would severely problems long term fusion reactor, it truly is challenging to build up sufficient disruptive knowledge, especially at large general performance routine, to train a usable disruption predictor.
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