Application of Fuzzy BP Neural Network to Evaluate Effectiveness of Curriculum Teaching Reform of Nuclear Radiation Detection Technology

In the context of curriculum teaching reform, it is of great significance to evaluate its effectiveness. In the paper, the teaching reform of the nuclear radiation detection technology curriculum is studied and analyzed by using the fuzzy BP neural network model. According to the investigation of the evaluation factors of education reform, four primary evaluation indexes and nine corresponding secondary indexes are selected: teaching ability, classroom order, after school learning, and teaching effectiveness. The preliminary data set is obtained in the form of a questionnaire. The fuzzy theory and analytic hierarchy process are used to construct and calculate the evaluation index to provide samples for the learning of neural networks. On this basis, the fuzzy BP neural network model is constructed by combining BP neural network with a fuzzy system. After testing, the relative error of the output prediction score is less than 0.0002, which well predicts the evaluation results and provides an effective method for the evaluation of curriculum teaching reform.