摘要
文章对LF精炼炉炼钢精炼环节合金配料的常用建模方法和RBF神经网络作了简单介绍,运用实际数据进行建模、预测,并就其预测结果进行绝对误差曲线比较,得出RBF网络相对于其它方法具有较好的预测结果。
The paper introduces briefly the standard modeling method of the alloy burden in steelmaking refining period for LF finer and the RBF network. Actual data are used to set up model and make prediction and, then, compared its predictive result with absolute deviation curve. The final result shows that the RBF network has a better predictive result compared with other methods.
出处
《重型机械》
2007年第5期30-32,48,共4页
Heavy Machinery
