Intelligent Fusion Method for College Students’ Psychological Education Score Data Based on Improved Bp Algorithm

In order to solve the problem of poor fusion of college students’ psychological education score data, an intelligent fusion method for college students’ psychological education score data based on improved BP algorithm is proposed. Innovatively adopting genetic algorithms to optimize the weights and thresholds of BP neural networks; Standardize the hierarchical data using matrix transformation and preprocess the fused data using the Grobeis criterion; Extract multi-source heterogeneous level data features, establish an intelligent fusion model for college students’ psychological education level data based on improved BP neural network, and achieve intelligent fusion of college students’ psychological education level data. The experimental results show that this method has lower latency and higher packet switching rate in data fusion, proving its good fusion performance in data fusion.