关键词: 抄袭，相似性检测,PP神经网络，比较特征

Abstract: It is very important to find plagiarized programs in the field of computer science education. Traditional methods for program similarity use attribute counting or structure information to detect plagiarism. This paper presented a program similarity detection approach based on back propagation (I3P algorithm) multi-layer feed-forward neural net works. We extracted seven compared features of the code as the input of the neural network, and obtained the program similarity through the network calculation. Comparing the result with the threshold value, we can find all groups of simlar programs. Experimental results show that our method is effective.

Key words: Plagiarism, Similarity detection, BP neural network, Compared feature