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US 2024/0193629 A1Published application
Method and system for predicting operational indicators where a demand model is trained and updated
AssigneeDUN-QIAN Intelligent Technology Co., Ltd.
InventorsYen-Chu Chen, Ling-Jung Lin, Shao-Chen Liu, Hsuan-Wei Chen, Shuh-Shian Tsai
Life of this patent
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Abstract
A method for predicting operational indicators includes performing a training operation according to first data to train a demand model, inputting second data into the demand model to generate predicted demand data, collecting actual demand data, and performing an adjustment operation according to the predicted demand data and the actual demand data to update the demand model.
Claims10
A method for predicting operational indicators, comprising:
- performing a training operation according to first data to train a demand model;
- inputting second data into the demand model to generate predicted demand data;
- collecting actual demand data;
- and
- performing an adjustment operation according to the predicted demand data and the actual demand data to update the demand model.
2 more elements
A system configured to predict operational indicators, comprising:
- a first data unit configured to provide first data;
- a second data unit configured to provide second data;
- a demand model configured to generate predicted demand data according to the second data;
- and
- a training unit configured to train the demand model according to the first data, and perform an adjustment operation according to the predicted demand data and actual demand data to update the demand model.
2 more elements
Dependencies are inferred from the claim text.