介绍了用人工神经网络算法确定待复原颅面的软组织厚度及颅面特征点的方法。
Introducing a method to determine facial tissue thickness and facial landmarks using the algorithm of artificial neural network.
提出一种基于索引表的知识推理策略，按照所属类型为待复原颅骨选取最匹配的复原指导知识。
A knowledge inference strategy based on a index table was developed to select knowledge which matches different skull types. 4 Studying craniofacial reconstruction method.
我们提出基于傅里叶模式估计的二维波前重建算法，利用最小二乘拟合原理，可以计算出待测波前的傅里叶变换系数，从而恢复原始波前。
In this paper a new algorithm based onFourier modal estimate is proposed to reconstruct the original wavefront by use of least-square fitting.
应用推荐