LSTM-based drive power matching and its economic analysis
The correlation coefficients of computerised well mining data and motor power, selecting indicators with high correlation as input data, predicting the minimum and maximum power of the unit based on LSTM neural network, and giving the template of drive system matching according to the theory of drive system matching technology formed for different models.
Authors
- Jiaqi Yao (ORCID: https://orcid.org/0000-0003-1449-7671)
Institutions
- United States Department of the Treasury (US)
- Harbin Medical University (CN)
- Daqing City People's Hospital (CN)
- Daqing Normal University (CN)
Publication Details
- Journal
- Mathematical Modeling and Algorithm Application
- Published
- 2024-09-12
- DOI
- https://doi.org/10.54097/6hmrtj96
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00