ObjectiveThe Box-Behnken response surface methodology combined with BP neural network was used to optimize the preparation process of Hantaoye micropills.Methodspreparation of micropills of Hantaoye by extrusion rounding method was utilized， based on the one-way test，the ratio of micronized silica gel to MCC， wetting agent， loading capacity， rounding frequency and rounding time of excipients were examined as factors，and yield（%）， roundness， HR （hausner ratio） and brittleness（%） are used as evaluation indexs， based on G1-entropy weighting method， the evaluation indexs are combined and the comprehensive evaluation results are calculate-d， so as to optimize the prescription composition and its preparetion process， and a BP neural netw-ork model was established to select reasonable date for learning and validating and predicting theoptimal preparation process of Hantaoye micropills.ResultsThe optimum process for the preparation of Hantaoye micropills predicted by Box-Behnken response surface methododology and BP neural network was 1∶3（g∶g） ratio of micronized silica gel to MCC， 25% drug loading， and 22 round-ing frequency. The results of the validation test show that the absolute error of the mean value of the comprehensive evaluation results of the Box-Behnken response surface method with the theoretical value of the response surface optimization is 0.007 7， and the relative error is 0.79%.nse surface method combined with BP neural network multi-indicator optimization is stable， feasi-ble and more reasonable.ConclusionThe preparation process of Hantao leaf micro-pills based on Box-Behnken response.
