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.
Article
in Chinese
| WPRIM
| ID: wpr-737270
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Type of study:
Diagnostic study
Language:
Chinese
Journal:
Journal of Medical Biomechanics
Year:
2009
Type:
Article
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