Application of Artificial Networks in Prediction of Yield Strength
Based on experimental data,the back-propagating algorithm in artificial neural networks(ANNs) was trained by appending momentum and changing steps.According to the trained model,the critical points for yield strength were analyzed and predicted.The results show that the prediction precision and the pertinency between the predicted ANNs and measured values are considerably high.A Theoretical method for prediction martensite start temperature is given.