【摘要】 运用BP神经网络方法建立了铝青铜超塑性状态下流变应力与变形参数之间关系的预测模型,并利用该模型预测在不同拉伸条件下材料的流变应力。结果发现预测数据与试验数据吻合良好,误差小于8.5%。更多还原

【Abstract】 The prediction model which reflects the relation between flow stress and superplastic forming parameters of aluminum bronze was founded by the method of BP neural network,and using the model,the values of flow stress at different tensile conditions were predicted.The results show that the predicted values of the flow stress by the BP neural network are well in accordance with the test data and its errors are less than 8.5%.更多还原