Application of BP Neural Network Based on Genetic Algorithms Optimization in Prediction of Postgraduate Entrance Examination

The initial weights and thresholds of BP neural network are optimized by genetic algorithm in advance, and then the BP neural network is used in the prediction model of the postgraduate entrance examination results. Experimental results show that the optimized prediction model due to overcome the slow convergence speed and the defects of easy to produce local minimum has better accuracy than prediction model established by BP neural network alone, and is better than the traditional K-Nearest Neighbor and Naive Bayes classification results. The prediction model will be provided to the students before registration for postgraduate entrance examination, which is convenient for students to make reasonable decision, which has certain practical significance.