Traditional Chinese medicinal material supply and demand relationship prediction method and device based on machine learning and medium
A supply-demand relationship and machine learning technology, applied in the field of neural networks, can solve problems such as the vicious influence of the industrial chain and the uncertainty of the industrial chain
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[0045] Such as figure 1 As shown, in the first aspect, the present invention provides a method for predicting the relationship between supply and demand of Chinese medicinal materials based on machine learning, including but not limited to the realization of steps S101-S104:
[0046] Step S101. Obtain the ecological environment data sets and output data sets of each traditional Chinese medicinal material production area over the years, and input the ecological environment data sets and the output data sets over the years into the CNN-LSTM network model based on the attention mechanism. train;
[0047]Wherein, the ecological environment data set over the years includes weather data and soil data over the years; preferably, the weather data over the years includes but not limited to precipitation data, solar radiation data, snow water equivalent data, maximum temperature data, minimum temperature data and Water vapor pressure data. Among them, the above-mentioned weather data ...
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