A Reverse Approach in Optimizing Pass Parameters

摘要：

A method combines a back propagation neural networks (BPNN) with the data obtained using finite element method (FEM) is introduced in this paper as an approach to solve reverse problems.This paper presents the feasibility of this approach.FEM results are used to train the BPNN.Inputs of the network are associated with dimension deviation values of the steel pipe,and outputs correspond to its pass parameters.Training of the network ensures low error and good convergence of the learning process.At last,a group of optimal pass parameters are obtained,and reliability and accuracy of the parameters are verified by FEM simulation.

关键词： BPNN FEM reverse problem

作者: Hu Jian Hua Shuang Yuan Hua

作者单位: School of Science and Engineering of Material,Taiyuan University of Science & Technology Taiyuan,China,030024

会议类型: 国际会议

会议名称: 2010 International Conference of Environment Materials and Environment Management(2010年环境材料与环境管理国际学术会议 EMEM 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 1707-1711

在线出版日期: 2010-07-24（万方平台首次上网日期，不代表论文的发表时间）