Based on artificial neural network simulation of alloy finite element

摘要：

　　Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons).Artificial neural networks may either be used to gain an understanding of biological neural networks,or for solving artificial intelligence problems without necessarily creating a model of a real biological system.First modal analyses of microstructure defects are performed in ANSYS.Second the genetic algorithm is implemented in MATLAB to Calculate the Value of b and p.The last,The FEM analysis results are imported in ANSYS about the Stress distribution.The result presented in this paper is obtained using the Genetic Algorithm Optimization Toolbox.

关键词： Algorithm ANN FEM ANSYS MATLAB

作者: Shu Zhang

作者单位: Shenyang University of Chemical Technology Shenyang 110142, P.R.China

会议类型: 国际会议

会议名称: 2nd International Conference on Polymer Composities and Polymer Testing (2013第二届高分子复合材料与高分子测试国际会议暨先进工业技术与方案国际会议)(ISPCPT2013)

会议地点: 太原

会议语种:英文

页码: 496-499

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）