Abstract
In order to find out the number of hidden nodes and the training times of network in QSAR, a large number of data has been gathered for the relationships between the predictability and percentage error of network and the number of hidden nodes, the training times by running programs, and a three-dimension plot has been drawn by applying Matlab. The number of hidden nodes and the training times can be easily found with the least percentage error and the best predict precision, and the efficiency in selecting the number of hidden nodes and the training times can therefore easily improved.
| Original language | English |
|---|---|
| Pages (from-to) | 207-209 |
| Number of pages | 3 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 35 |
| Issue number | 2 |
| State | Published - Feb 2003 |
| Externally published | Yes |
Keywords
- Artificial neural network
- Node in hidden layer
- Optimization
- Training time