Research of Elastic Anisotropy Based on Neural Network

被引：0
|
作者：
Xu, Su [1 ]
Du, Jianping [2 ]
Fan, Yanfeng [1 ]
Fan, Zaifeng [3 ]
机构：
[1] Henan Univ Technol, Coll Informat Sci & Engn, Zhengzhou 450001, Peoples R China
[2] Zhengzhou Univ, Zhengzhou 450001, Peoples R China
[3] Marquette Univ, Biomed Engn Dept, Milwaukee, WI 53233 USA
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON IT IN MEDICINE AND EDUCATION, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/ITME.2008.4743920
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
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.
引用
收藏
页码：528 / +
页数：2
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