Abstract
This paper presented an estimation model on mental problems of undergraduates based on brain information features through RBFNN. 180 subjects with mental problems and 300 subjects without mental problems were tested by brain information feature detection approach. And then, some features were extracted. Based on these features and other information, the estimation model was proposed. The experimental results from 237 samples show that the decision method is feasible, and the accuracy is 85.1%.
| Original language | English |
|---|---|
| Pages (from-to) | 162-165 |
| Number of pages | 4 |
| Journal | Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice |
| Volume | 28 |
| Issue number | 10 |
| Publication status | Published - Oct 2008 |
Keywords
- Brain information features
- Estimation model
- Mental problems
- RBF Neural Network