Title :
Research of elastic anisotropy based on neural network
Author :
Xu, Su ; Du, Jianping ; Fan, Yanfeng ; Fan, Zaifeng
Author_Institution :
Coll. of Inf. Sci. & Eng., Henan Univ. of Technol., Zhengzhou
Abstract :
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.
Keywords :
biology computing; biomechanics; nanoindentation; neural nets; elastic anisotropy; nanoidentation load-displacement data; neural network; Anisotropic magnetoresistance; Bones; Data engineering; Mechanical factors; Mechanical variables measurement; Nanobioscience; Neural networks; Ultrasonic imaging; Ultrasonic variables measurement; Velocity measurement;
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
DOI :
10.1109/ITME.2008.4743920
