Performance Evaluation and Logical Reflection on the"Project System"of Humanities and Social Sciences in Universities:Based on Simultaneous Equations and BP Artificial Neural Network
The research of humanities and social sciences is mainly based on the project system.The performance problems of the project system are more concentrated on the micro level,lacking macro empirical research.The article takes the double-first-class construction universities of the Ministry of Education as an example,and constructs a new analytical framework.The interaction between variables such as research projects,researchers and research funding is analyzed through the synthetic application of simultaneous equation,BP artificial neural network and Bayesian vector autoregression.The empirical results show that the overall performance of project system in humanities and social sciences is not high;the performance of research funds needs to be improved;the performance of researchers is generally high;the influence of researchers and research funds on research projects is significant,and the positive feedback from academic papers to research projects is obvious.Finally,it is pointed out that the humanities and social sciences project system needs reflection and improvement.It is necessary to strive to improve the allocation system of research funds and mobilize the enthusiasm of the majority of humanities and social sciences workers.
humanities and social sciencesproject systemperformancesimultaneous equationsBP artificial neural network
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