神经网络在下颌运动轨迹图测量中的应用  

Application of neural networks for electrognathography

作　　者：张旭[1] 车仁生[1] 

机构地区：[1]哈尔滨工业大学,黑龙江哈尔滨150001

出　　处：《宇航计测技术》2002年第2期29-32,共4页Journal of Astronautic Metrology and Measurement

摘　　要：介绍了采用小型磁石测量下颌运动轨迹图Electrognathography(EGN)的方法。给出利用磁偶极子模型代替小磁石模型的理论及实际依据。利用神经网络解决由磁石产生的磁感应强度推定其空间参数的反演问题 ,并且采用了分割网络及修正网络的方法来提高磁石运动测量的推定准确度。It is introduced in this paper that two small magnets are used for Electrognathography. The theory basis is given that using the model of magnetic dipoles to substitute the magnet model. The Neural Networks is used to solve the inverse problem of parameter estimated by the magnetic field of magnetic dipoles. Division and correcting Neural Networks methods are used to increase the estimation accuracy of Electrognathography.

关 键 词：神经网络 下颌运动轨迹图 磁偶极子模型 磁石测量 

分 类 号：R78[医药卫生—口腔医学] TP183[医药卫生—临床医学]