Neural Networks with Ellipsoidal Activation Functions closes in upon a decision-making region by Gauss distribution for various patterns and is adapted to fault diagnosis well. 椭球单元通过高斯分布逼近形成各模式类的决策区域，是一种非常适合于模式识别任务的前馈型人工神经网络模型。
The ellipsoidal coordinates are introduced to solve the unknown displacement and electric potential jumps in the integral equations under uniform loading. 引入椭球坐标系后，得到了均布载荷作用下未知位移间断和电势间断的解析解。
