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Short-term prediction network for short-wave MUF based on model-data dual-driven

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Predicting the maximum available frequency of short-wave communication presents the challenges of low prediction accuracy of classical prediction model methods and difficulty in obtaining training set data for machine learning prediction methods. To address this issue. a model-data dual-driven bidirectional gated recurrent unit (BiGRU) network for short-term prediction of MUF was prop... https://www.herbsdailyes.shop/product-category/medical-and-ambulatory-supplies-apparel/
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