APPLICATION OF NEURAL NETWORK FOR PREDICTION OF CORROSION RATE OF OIL TUBE STEEL IN HIGH TEMPERATURE AND HIGH PRESSURE WATER
神经网络在预测高温高压环境中油管钢腐蚀速率的应用

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.