简要综述了神经网络的发展概况及相关理论，并利用 Matlab软件中的神经网络工具箱成功地建立了预测油管钢腐蚀速率的神经网络模型，实践证明神经网络预测结果与实验值吻合较好.最后通过现场实验数据检验了神经网络的泛化能力，表明其预测结果与现场实验结果相近.
The development and the relevant theory of Neural Network are reviewed briefly in this paper.The model for predicting the corrosion rate of carbon steel was constructed successfully through the neural network tools of Matlab,and the predicted values accord with the values of laboratory tests very well.At last,the ability of the generalization of the model was identified by use of the data obtained by the field tests.It shows that the predicted results closed to that of the field tests.
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