用神经网络算法建立钢丝拉拔过程强度模型

Model of Tensile Strength of Wire Based on Artificial Neural Network

将人工神经网络算法引进材料科学处理实验数据，在一定范围内，能较好地对实验数据进行预报。神经网络模型比经验公式预测钢丝拉拔过程的抗拉强度有效。

The artificial neural network arithmetic is used on data treatment of material science experimentIt is able to predict the result of experiment to some extentThe prediction model of tensile strength for drawing wire based on neural network is better than the model based on empirical equation