Aiming to promote the healthy development of college students'psychology,this paper,taking the causes of college students'mental health problems as the starting point,determines the evaluation index system for college students'mental health.From the perspective of classification and regression problems,supervised classification learners are used in classification problems to model the evaluation system for college students'mental health,and neural network learners are used for analysis in regression problems.The SOM clustering algo-rithm is used to verify the robustness of the evaluation index system for college students'mental health and the model is trained based on the neural network learner.The genetic algorithm is used to optimize the selection of the optimal weight and threshold.
关键词
大学生心理健康/神经网络优化算法/仿真模拟
Key words
college students'mental health/neural network optimization algorithm/simulation
万方数据