Consumption prediction system and consumption prediction method
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United States of America Patent
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May 14, 2024
Grant Date -
Sep 30, 2021
app pub date -
Aug 24, 2020
filing date -
Mar 31, 2020
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Abstract
A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.
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