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In this paper, a model to determine optimal investment strategy for foundation is introduced. Firstly, we preprocess the college data and classify, filter and fill the missing data with clustering analysis and regression method. Secondly, based on Back Propagation (BP) Neural Networks, a model of ROI was established. We find out the relationship between the variables and the comprehensive index. Thirdly, in order to obtain the maximum of ROI under fixed investment, an Optimization Model of fund allocation is built.

Investment strategy of colleges based on BP neural network and optimization program