Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network

@inproceedings{Juanhu2004EstablishingTK,
  title={Establishing the knowledge repository of rapidly solidified aging Cu-Cr-Zr alloy on the artificial neural-network},
  author={Su Juanhu},
  year={2004}
}
The non-linear relationship between parameters of rapidly solidified aging processes and mechancal and electrical properties of Cu-Cr-Zr alloy is avaitable by using a supervised artificial neural network (ANN). A knowledge repository of rapidly solidified aging processes is established via sufficient data learning by the network. The predicted values of the neural network are in accordance with the tested data. So an effective measare for foreseeing and controlling the properties of the… CONTINUE READING