Abstract
A model of the non-linear relationship between parameters of age processes and hardness and conductivity properties of Cu-Cr-Sn-Zn alloy is established by the artificial neural network (ANN). The improved model is developed by the Levenberg-Marquardt training algorithm. The results show that the ANN model has good generalization performance and makes the predicting and analyzing the properties of Cu-Cr-Sn-Zn alloy available.
| Original language | English |
|---|---|
| Pages (from-to) | 286-288 |
| Number of pages | 3 |
| Journal | Jinshu Rechuli/Heat Treatment of Metals |
| Volume | 30 |
| Issue number | SUPPL. |
| State | Published - Sep 2005 |
Keywords
- Aging processes
- Conductivity
- Cu-Cr-Sn-Zn alloy
- Hardness
- Neural Network