Abstract: The genetic algorithm optimization back-propagation BP neural network decision-making mechanism was presented in order to overcome the shortcoming of the independent study model based on the digital technology supporled learning that can't identify a number of degrees. According to its feature, the genetic algorithm is adopted to produce sample groups and determine parameters of the neural network model. The relationship between input and output has been identified during adaptive learning and training of the neural network, so as to achieve the purpose of identificalion of multi-degree. It validates the proposed approach by experiments.

Key words: Genetic algorithm,BP neural network,Digital technology supported learning,Identification of multi-degree