SSA+多元LSTM

SSA多元LSTM是一种将奇异谱分析(SSA)和长短期记忆网络(LSTM)结合起来进行多元回归预测的模型。奇异谱分析(SSA)是一种时间序列分析方法，通过对时间序列进行分组、重构，可以提取出其潜在的周期性和趋势性信息。而长短期记忆网络(LSTM)是一种循环神经网络，适用于处理具有长期依赖关系的序列数据。通过将SSA和LSTM相结合，SSA多元LSTM可以更好地捕捉时间序列中的周期性和趋势性，并用于多元回归预测任务。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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