Research on early-warning and evaluation of traditional Chinese medicine industry security based on BP neural network / 中草药

ABSTRACT

Through literature research, the safety evaluation index of traditional Chinese medicine (TCM) industry is identified, missing index value is calculated using the grey system theory, and the index weight is determined by the entropy weight method. The TCM industry safety from 2002 to 2014 was evaluated by grey relational analysis, and the TCM industry security evaluation index data from 2015 to 2020 are predicted using grey prediction and linear regression model method, combining the predicted value with historical data, TCM industry security BP neural network prediction model is established, and TCM industry security from 2015 to 2020 will be early warning. The results show that the next six years, TCM industry in China is safe, only mild prevention.