Levenberg-Marquardt Neural Network for Prediction of Material Mechanical Properities

摘要：

In this study we are trying with the LevenbergMarquardt neural network model to make an effective prediction of material mechanical properties. By using second derivative information, the network convergence speed is promoted and the generalization performance is enhanced. Taking the wheat strawreinforced composite for instance, the nonlinear mapping is set up from four influence factors (mold temperature, mold pressure, fibre content and time ) to its tensile strength and toughness. The simulation results show the founded network model has preferable learning and generalization capabilities, which performs effectively in predicting composite mechanical properties. Besides, the model is used to optimize process parameters of compression molding and find the range of best parameters.

关键词： neural network Levenberg-Marquardt Algorithm predicting material mechanical properties

作者: TANG Jia-li LIU Yi-jun WU Fang-sheng

作者单位: College of Computer Science and Engineering Jiangsu Teachers University of Technology Changzhou 213001 China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 94-98

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）