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STL-ALNBSA-LSTM
STL-ALNBSA-LSTM Public使用STL对数据进行分解为三个部分:seasonal,trend,remainder。采用pearson进行特征选择。在BSA基础上进行改进,提出一个新的BSA变体,命名为ALNBSA,并利用ALNBSA对三个LSTM(seasonal,trend,remainder)内部权值和阈值进行优化,分别建立三个模型,再将得到的结果进行相加,即为最终预测值。
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