用神经网络法预测集装箱角铸钢件的力学性能

Predicting the Mechanical Properties of Cast Steel Container Corners with the Neural Network Methods

采用神经网络方法来建立集装箱角铸件化学成分与力学性能之间的依赖关系 ,继而用这一模型进行检验和预测 ,取得了良好的效果。该方法还可广泛应用于其它金属材料的力学性能与化学成分关系模型的建立 。

The relationship between chemical composite and mechanical property of cast steel container corners was established with the neural network methods. The model is employed in predicting and examining the product's properties and the excellent results are achieved. This method can also be used for establishing the relationship model between mechanical property and chemical composite of other alloys. A kind of data compacting technology was suggested for various tables of mechanical properties.