Data-driven hydraulic pressure prediction for typical excavators using a new deep learning SCSSA-LSTM method
Authors:
- Hao FengHFHao Feng
- Hao ZhouHZHao Zhou
- Donghui CaoDCDonghui Cao
- Chenbo YinCYChenbo Yin
- Chenxi ZhouCZChenxi Zhou
- 27 February 2025
- journal article
- Published by Elsevier in Expert Systems with Applications
- Vol. 275
Abstract
No abstract availableFunding 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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