A Method about Load Distribution of Fishing Mills Based on RBF Neural Network

This paper use RBF neural networks to establish finishing thickness and rolling force models. Compared with those finishing models which have or have not traditional models as input, the importance of traditional models in application of neural networks is obvious. In order to improve the predictive precision of finishing thickness and rolling force, using BP and RBF neural networks to establish finishing models, the result indicates that the model of load distribution based on RBF neural network is more accurate, also solving over-fitness problems in network application.