RBF神经网络应用于连铸漏钢预报

Application of RBF Neural Network to Prediction of Breakout in Continuous Casting Process

从结晶器上热电偶的时间序列和空间序列出发 ,将径向基 (RBF)神经网络应用于连铸漏钢预报 ,并对连铸过程进行了仿真 。

Based on the time series and spatial series of the thermocouples temperature on a mold wall, a RBF neural network is applied to predict the breakout of the continuous casting. The process of continuous casting is simulated. Good effects are obtained.