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预测复杂的时间序列与深回声状态网络

Afrouz Delshad1, Elizabeth M Cherry1

  • 1School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.

Chaos (Woodbury, N.Y.)
|September 10, 2025
PubMed
概括

深度回声状态网络 (ESN) 提高时间序列预测的准确性. 在深度ESN中堆叠层次,并集成基于知识的模型,可显著改善复杂数据的预测,优于传统ESN.

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