Data-driven hydraulic pressure prediction for typical excavators using a new deep learning SCSSA-LSTM method

Authors:
  • HZHao Zhou
    Hao Zhou
  • DCDonghui Cao
    Donghui Cao
  • CYChenbo Yin
    Chenbo Yin
  • CZChenxi Zhou
    Chenxi Zhou

Abstract
No abstract available
Funding Information
  • Jiangsu Province Natural Science Foundation (BK20221342)
  • National Natural Science Foundation of China (52105064)
  • National Key Research and Development Program of China (2021YFB2011904)

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