基于人工神经网络冷轧带肋钢筋轧制工艺的优化设计  

Optimized design for cold rolling ribbed steel wires and bars on the basis of an artificial neural network

作　　者：谢克非[1] 周天瑞[1] 李军红[1] 郭海龙 

机构地区：[1]南昌大学机电工程学院,330029 [2]南昌市金叶冷轧钢厂

出　　处：《锻压技术》2004年第2期36-38,共3页Forging & Stamping Technology

基　　金：江西省科技计划项目

摘　　要：用人工神经网络的计算机辅助技术模拟冷轧带肋钢筋生产工艺的产品性能与工艺参数之间的非线性非显式多目标多变量的映射关系 ,从而找出其最佳的工艺方案和产品性能 ,获得满意的产品质量。To abtain the best and satisfactory technique method and the product property as well as the good quality of the cold rolled ribbed steel wires and bars, we use the artificial neural network to simulate the reflect relationship of non linear, multi input and multi target between the production processes and the parameters of the product so as to optimize the technique parameters

关 键 词：人工神经网络 冷轧带肋钢筋 轧制工艺 优化设计 多变量多目标优化 

分 类 号：TG335[金属学及工艺—金属压力加工]