LSTM-based drive power matching and its economic analysis

Authors

  • Jiaqi Yao

DOI:

https://doi.org/10.54097/6hmrtj96

Keywords:

Motor matching; Driving power; LSTM neural network, economic analysis.

Abstract

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.

References

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Published

12-09-2024

Issue

Section

Articles

How to Cite

Yao, J. (2024). LSTM-based drive power matching and its economic analysis. Mathematical Modeling and Algorithm Application, 2(3), 1-4. https://doi.org/10.54097/6hmrtj96