Research of check model in yardstick of higher education tuition

The establishment of higher education tuition will directly decide whether individual families can accept higher education or not as well as whether colleges and universities can run smoothly. Currently the yardstick of higher education tuition fee in China is over unitary. Considering the facts that the setting of high education tuition fee is affected by many factors, the diversified model which determines the yardstick of higher education tuition is often used. In order to test the rationality of diversified models, this paper has established BP nerve network model to randomly group some of the results worked out by diversified model. Then some groups were used as a collection of training samples to train BP nerve network model, while the other groups were treated as a collection of testing samples to have an emulating verification. It finally turns out that the two collections have a strong relation with the error between 0–0.02 which indicates that diversified tuition model is correct and rational