Titlebook: Deep Learning in Solar Astronomy; Long Xu,Yihua Yan,Xin Huang Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive l

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Book 2022lar data. Deep learning has been an invaluable tool exploited to efficiently extract key information from the massive solar observation data, to solve the tasks of data archiving/classification, object detection and recognition...Astronomical study starts with imaging from recorded raw data, followe

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Die Ursachen und Auswirkungen von Mobbing,olar radiation index prediction. As one of the most violent solar eruptions, solar flare is the main driving source of catastrophic space weather, so forecasting of solar flare is of great importance. The solar radio flux of 10.7 cm is a typical index for measuring global solar activity. It is a typical indicator of long-term space weather.

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https://doi.org/10.1007/978-3-662-37014-8tional neural network has been verified most efficient for processing image. To process time series input, like video, recurrent neural network, e.g., long short-term memory (LSTM), was developed, which was widely known for forecasting the future, e.g., event occurrence, physical parameter predictio

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