Research of Elastic Anisotropy Based on Neural Network

摘要：

This paper uses the superority of the neural networks to get mechanical properties of the elastic anisotropy from nanoidentation load-displacement data. The creation of the training simples, the composing of the neural network and the method of the input vectors are discussed in details. Well experimental results are obtained, This technique has become a new vehicle to get mechanical properties.

作者: Su Xu Jianping Du Yanfeng Fan Zaifeng Fan

作者单位: College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China Zhengzhou University,Zhengzhou 450001,China Biomedical Engineering Department,Marquette University,Wisconsin,USA

会议类型: 国际会议

会议名称: 2008 IEEE International Symposium on IT in Medicine and Education(2008信息技术在医学和教育中的应用国际研讨会)(ITME 2008)

会议地点: 厦门

会议语种:英文

页码: 528-531

在线出版日期: 2008-12-12（万方平台首次上网日期，不代表论文的发表时间）