基于神经网络的大学生心理健康评估模型

Neural Network-based Mental Health Evaluation Model

将神经网络和心理健康教育研究相结合,提出基于BP网络和RBF网络的心理健康评估模型。此方法不仅为非线性资料的处理提供了一种新思路,而且为在结构未知下的变量筛选开辟了途径。同时,神经网络模型能同时处理几百种因素,可使困难问题的求解更加精确。

Combining neural network with mental health education, the BP-based and RBF-based mental health evaluation model is proposed in this paper. The method not only provides a new idea for the nonlinear data, but also opens a new way for selecting variables with unknown structure. Meanwhile, the neural network model can deal with hundreds of factors, and make it more precisely in finding the solution of difficult problems.