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首页> 外文期刊>Network Daily News >New Research on Civil Engineering from Dalian Maritime University Summarized (Rogue Wave Prediction Based on Four Combined Long Short-Term Memory Neural Network Models)
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New Research on Civil Engineering from Dalian Maritime University Summarized (Rogue Wave Prediction Based on Four Combined Long Short-Term Memory Neural Network Models)

机译:达利安海事大学的土木工程新研究总结(基于四个组合长期短期记忆神经网络模型的Rogue Wave预测)

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By a News Reporter-Staff News Editor at Network Daily News – A new study on civil engineering is now available. According to news originating from Liaoning, People’s Republic of China, by NewsRx editors, the research stated, “In order to improve the prediction accuracy of rogue waves of the long short-term memory (LSTM) neural network, prediction methods of LSTM with convolution neural networks (CNN), empirical mode decomposition (EMD), auto-aggressive integrated moving averagel (ARIMA) model, and Kalman filtering (KF) were studied.”
机译:由Network Daily News的新闻记者-Staft新闻编辑 - 现已提供有关土木工程的新研究。 根据NewsRX编辑的起源于中华人民共和国的新闻,该研究指出:“为了提高长期记忆(LSTM)神经网络的流氓浪潮的预测准确性,LSTM与LSTM的预测方法与卷积的预测方法 研究了神经网络(CNN),经验模式分解(EMD),自动攻击性集成移动Averagel(ARIMA)模型和Kalman滤波(KF)。”

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