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

Abstract

Abstract: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.

A Study of BOS Investment Strategy Based on BP Neural Network Prediction

“…The trained network was substituted into the calibration set to verify the value fluctuation from 9/11/2016 to 9/10/2021, as shown in Figure 4. Although there is a certain deviation between the sample value and the check value in the figure, the value fluctuation state is consistent every year [4]. Therefore, it can be considered that the neural network investment strategy model has acquired the dynamic behavior characteristics of value fluctuation state through the training of sample sets.…”