University Teachers' Professional Title Evaluation Prediction Mode Based on LVQ Neural Network

At present, university teachers' professional title evaluation is still mainly based on the qualitative analysis in our country, having their limitation, for example low efficiency, tedious process, complex operation and so on. On the basis of the Learning vector quantization neural network(LVQ), a new model for university teachers' professional title evaluation is proposed. The paper has constructed the nonlinear mapping relationship between evaluation materials and promotion to evaluate university teachers' professional title, using LVQ's advantages of simple network structure, self-learning, self-organization, and nonlinear classification processing capacity. The experiment results show that the model is effective, which gives a new way for the evaluation on university teachers' professional title.