Research On Provincial Natural Science Fund Evaluation System

Provincial Natural Science Fund Institutions of China adopt a scientific management mechanism for the fund to finance science projects. In order to select, finance and manage science projects with impartiality, fairness and openness, the fund management agency must take effective and reasonable methods for the selection of projects, the supervision of research process as well as the evaluation of the research outcome. However, the majority of The Fund Institutions focuses mainly on the preliminary stage of the projects, and thus makes it prone to the occurrence of the "strike-door" phenomenon. For solving this problem, the after-evaluation should be strengthened. The after-evaluation, as the assessment for the quality of the projects' implementation, is the key part in the science fund project management to enhance the quality and efficiency of the finance.In the first place, this paper analyzes the finished status of the domestic provincial natural science fund projects and point out the existing problems. Following that, the characteristics of the provincial Natural Science Foundation projects have been investigated and the provincial Natural Science Fund evaluation indices system which based on the four aspects of the academic achievements, personnel training, Awards&Patent and evoked project status has been proposed and the evaluation model is implemented by the BP-Neural Networks. Finally, the paper further elaborates the specific steps and methods of provincial natural science fund project evaluation model with a case study. Some of the specialists' evaluation results are employed for the training of BP-Neural Networks, and the accuracy of the model is demonstrated by the rest results.