Internal boundary parameters identification of human middle ear with neural network
- VernacularTitle:基于神经网络的人中耳内边界参数识别
- Author:
Ying-Xi LIU
1
;
Sheng LI
;
Xiu-Zhen SUN
Author Information
1. 大连理工大学
- Keywords:
Neural network;
middle ear;
Numerical modeling;
Internal boundary condition;
Parameter identification
- From:
Journal of Medical Biomechanics
2009;24(6):414-417
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the method of internal boundary parameters identification of middle ear.Method The numerical model is created using CT technology.Based on Matlab tools,the neural network for identifying internal boundary is proposed.Result The uniform pressure of 105 dB is applied at the outside of the tympanic membrane,and the harmonic analysis is calculated on the model to take the training samples.The internal condition parameters are identified using the good neural network.Conclusions The investiga-tion shows that the inverse method reveals a fast convergence and a high degree of accuracy.
