The Neural Network Estimator for Mechanical Property of Rolled Steel Bar

In this paper, the neural network estimator for mechanical property of rolled steel bar was proposed. Based on the learning capability of neural network, the nonlinear, complex relationships among the steel bar, the billet materials and the control parameters of production are expected to be automatically developed. Such a neural network estimator can help the technician to make a precise judgment for setting the related control parameters of rolling process. Not only the quality of steel bars can meet the standard asked for, but also can reduce the running cost caused by failure production.