10、Short-Term Prediction of Wind Power Based on Deep Long Short-Term Memory
就是PCA+LSTM,我尼瑪竟然讀了一小時 基於的風電短期預報深度長短期記憶 主成分分析（PEA）用於選擇輸入樣本並減少輸入的維數、 BP神經網絡與支持向量機的比較 反映信息的有效信息風電場的特徵提取採用主成分分析法。這個選擇主成分作爲LSTM的輸入。 PCA的主要原理： 是找到合適的線性。變換將相互關聯的變量轉換爲相互獨立的新變量。每個新變量有其獨特的含義，其中， 方差較大的變量可以反映主要信息
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相關文章
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