A New Genetic Algorithm and Its Application in Evaluating Chorus Course

Implementing course evaluation is an effective way to improve university course management level, and how to evaluate university course is one of the difficulties and hot research fields for the researchers related. The paper takes university chorus course evaluation for example and presents a new model for evaluating university course evaluation based on data mining technology. First an evaluation indicator system of university chorus course evaluation with three grades is designed; Second, aiming at the shortages of the existing BP neural network algorithm of data-mining for evaluating innovation education performance, genetic and BP neural network algorithm are integrated and some improvements are advanced to speed up the convergence and simplify the structure and to improve evaluating accuracy of the original BP model. Finally the model is realized with the data from three universities and the realization of the experimental results show that the model can improve algorithm efficiency and evaluation accuracy and can be used for university chorus course evaluation practically.