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This article establishes a neural network model simulating human identification based Genetic Algorithm and BP neural network algorithm. According to features of the matter to be identified, the genetic algorithm is adopted to produce these sample groups and determine parameters of the neural network model. The relationship between input and output has been identified during self-adaptive learning and training of the neural network, so as to achieve the purpose of identifying correctly. Identification experiments about multi-degrees among related specialized subjects verify the model is effective for independent studying.