Objective To study the common syndromes and their features of the acute aggravated stage of chronic obstructive pulmonary disease（COPD）.Methods We collected clinical data of 1046 COPD cases in the acute aggravated stage from 4 hospitals and established a database.Using the neural fuzzy system model based on the dynamic kehonen network（hereinafter referred to as the model）to obtain an optimal fuzzy rule through the training on the data of the database.The reliability of the model was detected with Fisher-Iris data

then the results of these collected clinical data were dredged.The common syndrome features of the acute aggravated stage of COPD were achieved according to basic theory of TCM and their rationality was detected by testing the data.Results Based on the Fisher-Iris data

3 fuzzy rules were achieved

with the test sample inspection

the recognition rate was 94%.Twenty-five fuzzy rules from the clinical data acquisition were achieved by using the model

and its recognition rate for clinical data tested samples was 75.8%.Through the conversion of rules

nine common syndromes and their corresponding main and secondary symptoms were made clear.Nine common syndromes of COPD were achieved based on the dynamic kehonen network with the neural fuzzy system model:Phlegm and Blood Stasis Retained in the Lung

Qi and Yin Deficiency of the Lung and Kidney

Phlegm Damp Retention in the Lung

Wind Cold Attacking the Lung

Phlegm Heat Obstructing in the Lung

Qi Deficiency of the Lung and Kidney

Wind Heat Attacking the Lung

Qi Deficiency of the Lung and Spleen

and Exterior Cold and Interior Heat.Conclusion With the adaptive fuzzy inference system method

nine common syndromes of COPD of acute aggravated stage and the corresponding symdoms were acquired

so the method is applicable for the studies of the TCM syndrome features.