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Neural networks has been widely used in data mining, but the main challenge of it is to get high efficiency and explicit knowledge. So a BDB neural network is proposed to improve the efficiency in the paper. Meanwhile, an improved genetic algorithm, which can enhance ability of selecting fitness, for rule extraction from artificial neural networks is adopted. Compared with other data mining measures, the developed algorithm shows higher performance in efficiency and accuracy.