Journal of Medical Biomechanics 2009;24(6):414-417

Internal boundary parameters identification of human middle ear with neural network

Yingxi LIU ; Sheng LI ; Xiuzhen SUN

Keywords

Neural network; middle ear; Numerical modeling; Internal boundary condition; Parameter identification

Country

China

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.