The research based on BP neural network for the evaluation index system of science and technology projects funding

The science and rationality of an evaluation system will create a direct impact on the quality of the implementation of the projects and their conversional efficiency. According to the guidelines of BP artificial neural network, this paper specifies and details the traditional indexes for evaluating scientific projects, follows the procedures of theoretical study, methodological study, and empirical study. And then it also undertakes the collection of data and results of expert review, the computation of BP artificial neural network, the demonstration of actual cases. In the end it establishes an evaluation index System for science and technology projects funding with accordance in the conditions.