基于人工神经网络的高碳钢高速线材控冷工艺参数优化  

APPLICATION OF ARTIFICIAL NEURAL NETWORK ON OPTIMIZATION OF TECHNOLOGICAL PARAMETERS FOR HIGH CARBON HIGH SPEED ROLLED WIRE

作　　者：冯贺滨[1] 李连诗[1] 刘明哲[2] 褚建东[2] 李克敏[2] 

机构地区：[1]北京科技大学 [2]唐山钢铁股份有限公司

出　　处：《钢铁》2000年第6期37-40,共4页Iron and Steel

摘　　要：以现场正交试验数据为基础 ,采用人工神经网络方法建立了高碳钢高速线材控冷工艺优化模型 ,将预报结果与试验结果相比较可知 。Based on the data obtained at site,the predicting models for relation between the optimized technological parameters and mechanical properties of high carbon high speed rolled wire have been developed with the Artificial Neural Network.Comparing with measured ones,the results predicted by Artificial Neural Network are quite precise.

关 键 词：人工神经网络 控制冷却 工艺参数 优化 高速线材 

分 类 号：TG356.4[金属学及工艺—金属压力加工]