Internal boundary parameters identification of human middle ear with neural network / 医用生物力学
Journal of Medical Biomechanics
;
(6): 414-417, 2009.
Artículo
en Chino
| WPRIM
| ID: wpr-735802
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio diagnóstico
Idioma:
Chino
Revista:
Journal of Medical Biomechanics
Año:
2009
Tipo del documento:
Artículo
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