Aiming at the shortcomings of traditional BP neural network,which is easy to fall into local minima and slow convergence,this paper puts forward a model of combining genetic algorithm GA and BP algorithm to analyze various factors affecting the employment psychological problems of higher vocational graduates.This model can predict what shortcomings exist in the employment psychology of higher vocational graduates.The comprehensive evaluation method and expert scoring method in fuzzy mathematics are used to quantify the factors.The simulation results show that the system model can ef-fectively avoid the BP neural network from falling into local optimum and has high accuracy.The error between the predicted value and the actual value is less than 4％,so this model can be applied to predict the causes of employment psychological problems of higher vocational graduates.
关键词
遗传算法/BP神经网络/就业心理问题/预测
Key words
genetic algorithm/BP neural network/psychological problems in employment/pre-diction
维普
万方数据