Water control method for loosening and conditioning process based on neural network model and double parameter correction
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United States of America
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Apr 1, 2025
Grant Date -
Mar 2, 2023
app pub date -
Jul 27, 2022
filing date -
Jul 27, 2022
priority date (Note) -
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status (Latency Note)
Importance
Abstract
Disclosed in the present invention is a control method for water supply during loosening and conditioning based on a neural network model and a dual parameter correction. The method comprises: establishing a neural network-based model for predicting the amount of water supplied during loosening and conditioning; predicting and distributing the total water supplied; and correcting the model based on material balance calculation and deviation. In the present application, when there is a large deviation in outlet moisture, the dual correction control system combining the material balance calculation and the moisture deviation is used for correction to improve the stability and precise control of the outlet moisture during the loosening and conditioning process.
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International Classification(s)
- 2022 Application Filing Year
- G06N Class
- 11536 Applications Filed
- 3514 Patents Issued To-Date
- 30.47 % Issued To-Date
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- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
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