# Evaluation and Prediction of Higher Education System Based on AHP-TOPSIS and LSTM Neural Network
## 6 Conclusions and Future Work  
In this paper, we establish a higher education evaluation model based on AHP, TOPSIS and LSTM. With this model, we are able to evaluate the higher education system and predict future developments of the system in most countries. The experimental results indicate that the higher education evaluation of our model in various countries is consistent with reality, which is generally high in developed countries and low in developing countries. Additionally, our prediction results are also more in line with the actual data than that of other existing models, while a few exceptions exist, such as the prediction of the number of academic papers published. In summary, our model basically achieves the goal of universal applicability and accuracy. According to the results of the model, the following are suggested for a government's education policy:  
* Standardizing investment behavior. While encouraging the expansion of the investment scale of higher education and scientific research, we should also avoid the waste of social resources caused by ineffective investment. The waste of resources is mainly concentrated in the aspects of material and financial. On the one hand, currently, many colleges and universities have the phenomenon that the utilization rate of scientific research equipment is low or even idle. According to the statistics of the State Education Commission of the PRC, more than 20% of instruments and equipment in universities across the country are idle, and the utilization rate of expensive large-scale scientific research equipment is no more than 15%. On the other hand, a few researchers apply for scientific research projects purely for \"money\". Once the scientific research project is established, they ignore the rationality and efficiency of the use of funds, resulting in the false use of project funds and serious economic waste. Thus, achieving a rational allocation of resources and making the best use of educational investment is of great significance for accelerating the development of higher education. In view of the above waste of resources, we can make the following suggestions: In the aspects of resource investment, the government should reduce direct investment and encourage universities to seek funding channels by improving education quality and efficiency. In the management of universities, we should improve the use efficiency of teaching instruments and equipment, avoid the waste caused by the repeated purchase of equipment as far as possible, standardize the use of instruments by teachers and students, reduce the cost of maintenance and the loss of instruments and equipment and make the best use of ground objects to the greatest extent. Be familiar with the macro development trend of higher education and create a development environment that conforms to the trend of the times for higher education. Higher education is always influenced by the macro trends taking place in the surrounding world, which will shape the future of higher education and teaching. For example, due to the implementation of some university construction projects, the international ranking of Chinese universities has been rising rapidly. On the other hand, it has also caused a serious uneven distribution of resources among universities. The economically developed eastern region of China occupies a vast amount of educational resources. Even if some universities in the western region have a deep foundation, they are gradually overtaken by the eastern universities due to a lack of resources. In addition, teachers' degrees in China's colleges and universities have generally improved, which also makes the competition for teachers' positions increasingly fierce, and the student-teacher ratio has increased slightly. In addition, the digital learning environment is changing the way higher education institutions build learning ecosystems for learners and teachers.