Method for predicting medicinal material price changing rules based on BP neural network
A technology of BP neural network and change law, applied in the field of prediction of the price change law of medicinal materials, can solve problems such as difficulty in wide application, and achieve the effect of increasing revenue and reducing blindness.
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[0063] The embodiment provides a method for predicting price changes of medicinal materials based on BP neural network. According to the market price data of real estate medicinal materials Chuandusan, Chuanxiong, Polygonum multiflorum, etc. in Panzhihua City in 2000-2012, it is analyzed, calculated, and programmed to form a A set of forecasting schemes, draw pictures to analyze the rules of its changes. We first predicted the numbers from 2013 to 2016, and found that these results were basically consistent with the actual situation, so we got a more accurate weight correction and threshold correction model and program design scheme. Using these models and plans, we can more accurately predict the market prices of these medicinal materials in 2017-2020.
[0064] Include steps:
[0065] a. Take the market price data from 2000 to 2012 as the test sample, for example, take the Sichuan price from 2000 to 2012 in Table 1 as the test sample;
[0066] Table 12000-...
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