模式识别及人工神经网络算法在16Mn钢生产中应用

Application of Pattern Recognition and Artificial Neural Network Algorithm in Optimization of 16Mn-steel Production

摘要: 介绍了模式识别与人工神经网络算法应用于16Mn微合金化钢的生产工艺优化,并给出了各目标的最佳工艺参数供生产时参考.

Abstract: Recomend Pattern recognition and artifical neural network algorithm be used on the procedure optimization of tiny vanadium alloy-treated 16Mn-steel production. It has been gived that optimum procedure parameter for various traget to provide reference in production.