Classification obtains great concern in the field of data mining. Its main purpose is to predict the classification of data objects. Classification can be divided into two major categories of rule-based and non-rule-based, however because of the excellent performance that artificial neural network(ANN) can obtain from prediction, studying from experience and generalizing from the previous samples, making it an important method of classification. Although ANNs can achieve high classification accuracy, their explanation capability is very limited, as to restrict its application. This paper presents an improved ant colony algorithm based on ANNs classification rule extraction method, an improved ant colony algorithm is to help solve the ANN’s limited explanation capability to extract rules from the data. Experiments show that this approach could coordinate neural network to obtain rules of classified data well.