Objective: Through analysis HPLC fibgerprint and pharmacological effect data of different processed products of Cyperi Rhizoma

application PLS and BP-ANN model to associate total peak area of HPLC fingerprint and pharmacodynamics effect of anti-dysmenorrhea from different processed products of Cyperi Rhizoma

then to screen major effective ingredients of Cyperi Rhizoma. Method: Using PLS for data processing

BP-ANN model was established by the neural network toolbox in MATLAB

MIV of various factors were calculated

relative importance sequence of various factors for corresponding variable(pharmacological effect) was listed by according to MIV

then to screen major effective ingredients of anti-dysmenorrhea in Cyperi Rhizoma. Result: There were sixteen common peaks in eleven groups of Cyperi Rhizoma samples

compositions of each peak were assumed X1

X2

X3

X4

X5

X6

X7

X8

X9

X10

X11

X12

X13

X15

X16.Sequence of major effective ingredients for effect of Cyperi Rhizoma on writhing inhibition rate in mice dysmenorrhea model was X13

X15

X7

X16

sequence of major effective ingredients on muscle tension inhibition rate in mice isolated uterine contraction model was X15

X13

X5

X16

which were induced by oxytocin. Conclusion: Through relevance analysis of HPLC fingerprint total peak and pharmacodynamics effect by PLS and BP-ANN model

it was able to screen major effective ingredients in Cyperi Rhizoma.